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This Gist contains code snippets from examples of Aspose.OCR for Java.
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| This Gist contains code snippets from examples of Aspose.OCR for Java. |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| OmrTemplate template = new OmrTemplate(); | |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| java.awt.geom.Point2D.Float choiceBoxPosition = new java.awt.geom.Point2D.Float(20, 5); // 20 mm to the right, 5 mm from | |
| // the top | |
| java.awt.Dimension choiceBoxSize = new java.awt.Dimension(12, 24); | |
| ChoiceBoxElement choiceBox = new ChoiceBoxElement("anElement", choiceBoxPosition, choiceBoxSize); | |
| choiceBox.setHorizontal(false); | |
| choiceBox.getCells().add(new OmrCell("A")); // Three marks: (A) (B) (C) | |
| choiceBox.getCells().add(new OmrCell("B")); | |
| choiceBox.getCells().add(new OmrCell("C")); | |
| page.getElements().add(choiceBox); | |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| template.save(dataDir + "new-template.amr"); | |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| OmrPage page = template.getPages().getItem(0); | |
| page.setWidth(215.9); | |
| page.setHeight(279.4); | |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(ExtractingPreprocessedImages.class); | |
| // Set the Image property by loading the image from file path location or an instance of InputStream | |
| ocrEngine.setImage(ImageStream.fromFile(dataDir + "aspose-logo.png")); | |
| // Process the image | |
| if (ocrEngine.process()) { | |
| try { | |
| // Save binarized image on disc | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getBinarizedImage(), "PNG", | |
| new File(dataDir + "BinarizedImage.png")); | |
| // Save filtered image on disc | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getFilteredImage(), "PNG", | |
| new File(dataDir + "FilteredImage.png")); | |
| // Save image after removing non-textual fragments | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getNonTextRemovedImage(), "PNG", | |
| new File(dataDir + "NonTextRemovedImage.png")); | |
| // Save image after skew correction | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getRotatedImage(), "PNG", | |
| new File(dataDir + "RotatedImage.png")); | |
| // Save image after textual block detection | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getTextBlocksImage(), "PNG", | |
| new File(dataDir + "TextBlocksImage.png")); | |
| } catch (IOException e) { | |
| // TODO Auto-generated catch block | |
| e.printStackTrace(); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(PerformingOCROnPDFDocuments.class); | |
| // Create an instance of Document to load the PDF | |
| com.aspose.pdf.Document pdfDocument = new com.aspose.pdf.Document(dataDir + "Disclosure(SDK).pdf"); | |
| // Create an instance of OcrEngine for recognition | |
| com.aspose.ocr.OcrEngine ocrEngine = new com.aspose.ocr.OcrEngine(); | |
| // Iterate over the pages of PDF | |
| for (int pageCount = 1; pageCount <= pdfDocument.getPages().size(); pageCount++) { | |
| // Create Resolution object with DPI value | |
| com.aspose.pdf.devices.Resolution resolution = new com.aspose.pdf.devices.Resolution(300); | |
| // Create JPEG device with specified attributes (Width, Height, Resolution, Quality), where Quality [0-100], 100 is | |
| // Maximum | |
| com.aspose.pdf.devices.JpegDevice jpegDevice = new com.aspose.pdf.devices.JpegDevice(resolution, 100); | |
| // Create stream object to save the output image | |
| java.io.OutputStream imageStream = new java.io.FileOutputStream("Converted_Image" + pageCount + ".jpg"); | |
| // Convert a particular page and save the image to stream | |
| jpegDevice.process(pdfDocument.getPages().get_Item(pageCount), imageStream); | |
| // Set Image property of OcrEngine to the stream obtained from previous step | |
| ocrEngine.setImage(ImageStream.fromFile("Converted_Image" + pageCount + ".jpg")); | |
| // Perform OCR operation on one page at a time | |
| if (ocrEngine.process()) { | |
| System.out.println(ocrEngine.getText()); | |
| } | |
| // Close the stream | |
| imageStream.close(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(UsageOfNotifierFactoryClass.class); | |
| // Create an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // Set image file | |
| ocrEngine.setImage(ImageStream.fromFile(dataDir + "aspose-logo.png")); | |
| final int[] totalWords = { 0 }; | |
| // Get an instance of INotifier | |
| INotifier processorWord = NotifierFactory.wordNotifier(); | |
| // Write a delegate to handle the Elapsed event | |
| processorWord.Elapsed.add(new NotifierHandler() { | |
| public void invoke(Object sender, IRecognizedText recognizedText) { | |
| totalWords[0]++; | |
| } | |
| }); | |
| // Add the word processor to the OcrEngine | |
| ocrEngine.addNotifier(processorWord); | |
| // Perform OCR and get extracted text | |
| ocrEngine.process(); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| //Set license | |
| String file = "Aspose.Total.lic"; //change the path to point to a valid license | |
| License.setLicense(file); | |
| //Check license | |
| boolean resLicense = License.isValid(); | |
| System.out.println("License is set: " + resLicense); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // Clear notifier list | |
| ocrEngine.clearNotifies(); | |
| // Clear recognition blocks | |
| ocrEngine.getConfig().clearRecognitionBlocks(); | |
| // Add 3 rectangle blocks to user defined recognition blocks | |
| // Reading text from multiple recognition blocks work with a valid license | |
| ocrEngine.getConfig().addRecognitionBlock(RecognitionBlock.createTextBlock(27, 35, 857, 75)); | |
| ocrEngine.getConfig().addRecognitionBlock(RecognitionBlock.createTextBlock(899, 104, 552, 63)); | |
| ocrEngine.getConfig().addRecognitionBlock(RecognitionBlock.createTextBlock(702, 163, 623, 68)); | |
| // Ignore everything else on the image other than the user defined | |
| // recognition blocks | |
| ocrEngine.getConfig().setDetectTextRegions(false); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(AddingUserDefinedRecognitionBlocks.class); | |
| // The image path | |
| String imagePath = dataDir + "Sampleocr.bmp"; | |
| // Set Image property by loading an image from file path | |
| ocrEngine.setImage(ImageStream.fromFile(imagePath)); | |
| // Run recognition process | |
| if(ocrEngine.process()) { | |
| // Retrieve user defined blocks that determines the page layout | |
| List<IRecognitionBlock> blocks = ocrEngine.getConfig().getRecognitionBlocks(); | |
| // Loop over the list of blocks | |
| for (IRecognitionBlock block : blocks) { | |
| // Check if block has recognition data | |
| if (block.getRecognitionData() == null) { | |
| System.out.println("Null"); | |
| continue; | |
| } | |
| // Display dimension & size of rectangle that defines the recognition block | |
| System.out.println("Block: " + block.getRectangle()); | |
| // Display the recognition results | |
| IRecognizedTextPartInfo textPartInfo = (IRecognizedTextPartInfo) block.getRecognitionData(); | |
| System.out.println("Text: " + textPartInfo.getText()); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize OcrEngine | |
| OcrEngine ocr = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(ApplyingCorrectionFilters.class); | |
| // The image path | |
| String imagePath = dataDir + "Sampleocr.bmp"; | |
| // Set the image for instance of OcrEngine | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| //// Set filters | |
| // Create CorrectionFilters collection | |
| CorrectionFilters filters = new CorrectionFilters(); | |
| Filter filter = null; | |
| // Initialize Median filter | |
| filter = new MedianFilter(5); | |
| filters.add(filter); | |
| // Create Gaussian Blur filter | |
| filter = new GaussBlurFilter(); | |
| filters.add(filter); | |
| // Assign filters collection to OcrEngine | |
| ocr.getConfig().setCorrectionFilters(filters); | |
| // Perform OCR operation | |
| ocr.process(); | |
| System.out.println("Whole result is " + ocr.getText()); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an instance of OcrEngine class | |
| OcrEngine ocr = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(DisableReadingOrderDetection.class); | |
| // The image path | |
| String imagePath = dataDir + "Sampleocr.bmp"; | |
| // Set Image property by loading an image from file path | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| // Set the DetectReadingOrder to false to improve performance | |
| // Default value of DetectReadingOrder is true | |
| ocr.getConfig().setDetectReadingOrder(false); | |
| // Perform OCR operation | |
| if (ocr.process()) { | |
| // Display results | |
| System.out.println(ocr.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(ExtractPreprocessedImages.class); | |
| // The image path | |
| String imagePath = dataDir + "Sample.jpg"; | |
| // Set Image property by loading an image from file path | |
| ocrEngine.setImage(ImageStream.fromFile(imagePath)); | |
| // Set the SavePreprocessedImages property to true to save the images | |
| ocrEngine.getConfig().setSavePreprocessedImages(true); | |
| if (ocrEngine.process()) { | |
| //Save binarized image on disc | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getBinarizedImage(), "png", new File(dataDir + "Output\\BinarizedImage.png")); | |
| //Save filtered image on disc | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getFilteredImage(), "png", new File(dataDir + "Output\\FilteredImage.png")); | |
| //Save image after removing non-textual fragments | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getNonTextRemovedImage(), "png", new File(dataDir + "Output\\NonTextRemovedImage.png")); | |
| //Save image after skew correction | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getRotatedImage(), "png", new File(dataDir + "Output\\RotatedImage.png")); | |
| //Save image after textual block detection | |
| ImageIO.write(ocrEngine.getPreprocessedImages().getTextBlocksImage(), "png", new File(dataDir + "Output\\TextBlocksImage.png")); | |
| System.out.println(ocrEngine.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // Create text recognition block by supplying X,Y coordinates and Width,Height values | |
| com.aspose.ocr.IRecognitionBlock block1 = com.aspose.ocr.RecognitionBlock.createTextBlock(10, 9, 258, 46); | |
| // Set the Whitelist property to recognize numbers only | |
| block1.setWhitelist(new char[] { '1', '2', '3', '4', '5', '6', '7', '8', '9', '0' }); | |
| // Create text recognition block by supplying X,Y coordinates and Width,Height values | |
| com.aspose.ocr.IRecognitionBlock block2 = com.aspose.ocr.RecognitionBlock.createTextBlock(23, 62, 220, 50); | |
| // Set the Whitelist property to recognize L,M,N,O,P letters only | |
| block2.setWhitelist(new char[] { 'L', 'M', 'N', 'O', 'P' }); | |
| // Set different configurations and add the recognition block(s) | |
| ocrEngine.getConfig().clearRecognitionBlocks(); | |
| ocrEngine.getConfig().addRecognitionBlock(block1); | |
| ocrEngine.getConfig().addRecognitionBlock(block2); | |
| ocrEngine.getConfig().setDetectTextRegions(false); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(RecognizeMultipleWhiteLists.class); | |
| // The image path | |
| String imagePath = dataDir + "SampleNumbersAndLetters.bmp"; | |
| // Set Image property by loading an image from file path | |
| ocrEngine.setImage(ImageStream.fromFile(imagePath)); | |
| if (ocrEngine.process()) { | |
| System.out.println(ocrEngine.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an instance of OcrEngine class | |
| OcrEngine ocr = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(SettingOcrEnginetoAutomaticallyDetectTextBlocks.class); | |
| /// Set the paths | |
| String imagePath = dataDir + "Sample1.jpg"; | |
| // Set Image property by loading an image from file path | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| // Set the DetectTextRegions to true | |
| ocr.getConfig().setDetectTextRegions(true); | |
| // Perform OCR operation | |
| if (ocr.process()) { | |
| // Display results | |
| System.out.println(ocr.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an instance of OcrEngine class | |
| OcrEngine ocr = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(SettingOcrEnginetoAutomaticallyDetecttheReadingOrder.class); | |
| /// Set the paths | |
| String imagePath = dataDir + "Sample1.jpg"; | |
| // Set Image property by loading an image from file path | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| // Set the DetectReadingOrder to true | |
| ocr.getConfig().setDetectReadingOrder(true); | |
| // Perform OCR operation | |
| if (ocr.process()) { | |
| // Display results | |
| System.out.println(ocr.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // Retrieve the OcrConfig of the OcrEngine object | |
| OCRConfig ocrConfig = ocrEngine.getConfig(); | |
| // Set the Whitelist property to recognize numbers only | |
| ocrConfig.setWhitelist(new char[] { '1', '2', '3', '4', '5', '6', '7', '8', '9', '0' }); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(SettingOcrEnginetoRecognizeOnlyWhiteListedCharacters.class); | |
| // The image path | |
| String imagePath = dataDir + "SampleNumbers.jpg"; | |
| // Set Image property by loading an image from file path | |
| ocrEngine.setImage(ImageStream.fromFile(imagePath)); | |
| // Call the Process method to retrieve the results | |
| ocrEngine.process(); | |
| // Filtration can be done using different approaches such as by using the regular expressions as demonstrated below | |
| if (ocrEngine.process()) { | |
| IRecognizedText text = ocrEngine.getText(); | |
| System.out.println(text); | |
| String expression = "(\\d+)"; | |
| // Create a Pattern object | |
| Pattern pattern = Pattern.compile(expression); | |
| // Now create matcher object | |
| Matcher matcher = pattern.matcher(text.toString()); | |
| if (matcher.find()) { | |
| System.out.println("Found value: " + matcher.group(0)); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an instance of OcrEngine class | |
| OcrEngine ocr = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(SettingtheOcrEnginetoAutomaticallyCorrecttheSpellings.class); | |
| // The image path | |
| String imagePath = dataDir + "SampleSpellingCorrection.jpg"; | |
| // Set Image property by loading an image from file path | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| // Set the DoSpellingCorrection to true | |
| ocr.getConfig().setDoSpellingCorrection(true); | |
| // Perform OCR operation | |
| if (ocr.process()) { | |
| // Display results | |
| System.out.println(ocr.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| String FileName = ""; | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocr = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(SettingtheOcrEnginetoExcludesavingpreprocessedimages.class); | |
| /// Set the paths | |
| String imagePath = dataDir + "Sample1.jpg"; | |
| // Set Image property by loading an image from file path | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| // Set the SavePreprocessedImages property to false | |
| ocr.getConfig().setSavePreprocessedImages(false); | |
| if (ocr.process()) { | |
| // Do processing | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an instance of OcrEngine class | |
| OcrEngine ocr = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(SettingtheOcrEnginetoIgnoreNonTextualBlocks.class); | |
| // The image path | |
| String imagePath = dataDir + "Sampleocr.bmp"; | |
| // Set Image property by loading an image from file path | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| // Set the RemoveNonText to true | |
| ocr.getConfig().setRemoveNonText(true); | |
| // Perform OCR operation | |
| if (ocr.process()) { | |
| // Display results | |
| System.out.println(ocr.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(CalculateSkewAngle.class); | |
| // The image path | |
| String imagePath = dataDir + "p3.png"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| // Get test skew | |
| try { | |
| double angle = api.CalcSkewImage(imagePath); | |
| System.out.println("Skew text is:" + angle + " degrees."); | |
| } catch (IOException e1) { | |
| e1.printStackTrace(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // Clear notifier list | |
| ocrEngine.clearNotifies(); | |
| // Clear recognition blocks | |
| ocrEngine.getConfig().clearRecognitionBlocks(); | |
| // Add 2 rectangle blocks to user defined recognition blocks | |
| // Reading text from multiple recognition blocks work with a valid license | |
| ocrEngine.getConfig().addRecognitionBlock(RecognitionBlock.createTextBlock(27, 35, 857, 75)); | |
| ocrEngine.getConfig().addRecognitionBlock(RecognitionBlock.createTextBlock(899, 104, 552, 63)); | |
| // Ignore everything else on the image other than the user defined | |
| // recognition blocks | |
| ocrEngine.getConfig().setDetectTextRegions(false); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(ExtractingTextfromPartofanImage.class); | |
| // The image path | |
| String imagePath = dataDir + "Sampleocr.bmp"; | |
| // Set the Image property | |
| ocrEngine.setImage(ImageStream.fromFile(imagePath)); | |
| // Run recognition process | |
| if (ocrEngine.process()) { | |
| for (IRecognizedPartInfo info : ocrEngine.getText().getPartsInfo()) { | |
| IRecognizedTextPartInfo textInfo = (IRecognizedTextPartInfo) info; | |
| System.out.println("Block: " + info.getBox() + " Text: " + textInfo.getText()); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(GetRectanglesWithTextAreas.class); | |
| // The image path | |
| String imagePath = dataDir + "p3.png"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| // Recognize page by full path to file | |
| try { | |
| String result = api.RecognizePage(imagePath); | |
| System.out.println("Result: " + result); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } | |
| //Get rectangles with text areas in the image. | |
| ArrayList<Rectangle> rectResult = api.getTextAreas(); | |
| for(Rectangle r : rectResult) { | |
| System.out.println("Text area:" + r); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(GetTextPartHierarchyofRecognizedText.class); | |
| // Set the image path | |
| String imageFileName = dataDir + "Sampleocr.bmp"; | |
| // Set the Image property by loading the image from file path location | |
| // or an instance of MemoryStream | |
| ocrEngine.setImage(ImageStream.fromFile(imageFileName)); | |
| // Process the image | |
| if (ocrEngine.process()) { | |
| // Retrieve the first block of the recognized text part | |
| IRecognizedTextPartInfo firstBlock = (IRecognizedTextPartInfo) ocrEngine.getText().getPartsInfo()[0]; | |
| // Get the children of the first block that will be the lines in the block | |
| IRecognizedPartInfo[] linesOfFirstBlock = firstBlock.getChildren(); | |
| // Retrieve the fist line from the collection of lines | |
| IRecognizedTextPartInfo firstLine = (IRecognizedTextPartInfo) linesOfFirstBlock[0]; | |
| // Display the level of line | |
| System.out.println(getLevelText(firstLine.getLevel())); | |
| // Retrieve the fist word from the collection of words | |
| IRecognizedTextPartInfo firstWord = (IRecognizedTextPartInfo) firstLine.getChildren()[0]; | |
| // Display the level of word | |
| System.out.println(getLevelText(firstWord.getLevel())); | |
| // Retrieve the fist character from the collection of characters | |
| IRecognizedTextPartInfo firstCharacter = (IRecognizedTextPartInfo) firstWord.getChildren()[0]; | |
| // Display the level of character | |
| System.out.println(getLevelText(firstCharacter.getLevel())); | |
| } | |
| // Method to identify level | |
| public static String getLevelText(int level) { | |
| if(level == TextPartLevel.Character) { | |
| return "Character"; | |
| } else if (level == TextPartLevel.Line) { | |
| return "Line"; | |
| } else if (level == TextPartLevel.Textblock) { | |
| return "Textblock"; | |
| } else { | |
| return "Word"; | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(GettingNotificationforEachRecognizedWord.class); | |
| // The image path | |
| String imageFileName = dataDir + "Sampleocr.bmp"; | |
| // Set the Image property | |
| ocrEngine.setImage(ImageStream.fromFile(imageFileName)); | |
| final int[] totalWords = { 0 }; | |
| // Get an instance of INotifier | |
| INotifier processorWord = NotifierFactory.wordNotifier(); | |
| // Write a delegate to handle the Elapsed event | |
| processorWord.Elapsed.add(new NotifierHandler() { | |
| public void invoke(Object sender, IRecognizedText recognizedText) { | |
| totalWords[0]++; | |
| System.out.println(recognizedText); | |
| } | |
| }); | |
| // Add the word processor to the OcrEngine | |
| ocrEngine.addNotifier(processorWord); | |
| // Perform OCR and get extracted text | |
| ocrEngine.process(); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // Set the Image property by loading the image from remote location | |
| ocrEngine.setImage(ImageStream.fromUrl("https://blog.aspose.com/wp-content/uploads/sites/2/2019/03/SampleTextOnline.jpg")); | |
| // Process the image | |
| if (ocrEngine.process()) { | |
| // Display the recognized text | |
| System.out.println(ocrEngine.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(OCROperationWithLanguageSelection.class); | |
| // The image path | |
| String file = dataDir + "p3.png"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| // set recognition options | |
| RecognitionSettings settings = new RecognitionSettings(); | |
| settings.setAutoSkew(false); | |
| ArrayList<Rectangle> rectangles = new ArrayList<Rectangle>(); | |
| rectangles.add(new Rectangle(90,186,775,95)); | |
| settings.setRecognitionAreas(rectangles); | |
| settings.setSkew(0.5); | |
| settings.setLanguage(RecognitionSettings.Language.en); | |
| // get result object | |
| RecognitionResult result = null; | |
| try { | |
| result = api.RecognizePage(file, settings); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } | |
| // print result | |
| System.out.println("Result: \n" + result.recognitionText+"\n\n"); | |
| for(String n: result.recognitionAreasText) { | |
| System.out.println ( n ); | |
| } | |
| for(Rectangle n: result.recognitionAreasRectangles) { | |
| System.out.println(n.height+":"+n.width+":"+n.x+":"+n.y); | |
| } | |
| System.out.println("\nJSON:" + result.GetJson()); | |
| System.out.println("angle:" + result.skew); | |
| for(String n: result.warnings) { | |
| System.out.println ( n ); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an initialize an instance of OcrEngine | |
| OcrEngine engine = new OcrEngine(); | |
| String dataDir = Utils.getSharedDataDir(PerformingOCRonMultipageTIFF.class); | |
| // The image path | |
| String imagePath = dataDir + "SampleTiff.tiff"; | |
| // Set the OcrEngine.Image property by loading a multipage TIFF from | |
| // disk, memory or URL | |
| engine.setImage(ImageStream.fromFile(imagePath)); | |
| // Set OcrEngine.ProcessAllPages to true in order to process all pages | |
| // of TIFF in single run | |
| engine.setProcessAllPages(true); | |
| // Call OcrEngine.Process method to perform OCR operation | |
| if (engine.process()) { | |
| // Retrieve the list of Pages | |
| Page[] pages = engine.getPages(); | |
| // Iterate over the list of Pages | |
| for (Page page : pages) { | |
| // Display the recognized text from each Page | |
| System.out.println(page.getPageText()); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(PerformOCROnBufferedImage.class); | |
| // The image path | |
| String imagePath = dataDir + "p3.png"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| // Recognize page from BufferedImage | |
| try { | |
| BufferedImage loaded = ImageIO.read(new File(imagePath)); | |
| String result = api.RecognizePage(loaded); | |
| System.out.println("Result BufferedImage: " + result); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(PerformOCROnImage.class); | |
| // The image path | |
| String imagePath = dataDir + "Sampleocr.bmp"; | |
| // Create an instance of OcrEngine | |
| OcrEngine ocr = new OcrEngine(); | |
| // Set the Image property | |
| ocr.setImage(ImageStream.fromFile(imagePath)); | |
| // Perform OCR and get extracted text | |
| try { | |
| if (ocr.process()) { | |
| System.out.println(ocr.getText()); | |
| } | |
| } catch (Exception e) { | |
| e.printStackTrace(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| String uri = "https://www.castlegateit.co.uk/wp-content/uploads/2016/09/justified_text.png"; | |
| // set recognition options | |
| RecognitionSettings settings = new RecognitionSettings(); | |
| settings.setAutoSkew(false); | |
| ArrayList<Rectangle> rectangles = new ArrayList<Rectangle>(); | |
| rectangles.add(new Rectangle(90,186,775,95)); | |
| settings.setRecognitionAreas(rectangles); | |
| // get result object | |
| RecognitionResult result = null; | |
| try { | |
| result = api.RecognizePageFromUri(uri, settings); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } | |
| // print result | |
| System.out.println("Result: \n" + result.recognitionText+"\n\n"); | |
| System.out.println("RecognitionAreasText: \n"); | |
| for(String text: result.recognitionAreasText) { | |
| System.out.println(text); | |
| } | |
| System.out.println("JSON: \n" + result.GetJson()); | |
| System.out.println("Warnings: \n"); | |
| for(String warning: result.warnings) { | |
| System.out.println(warning); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(PerformOCROnPage.class); | |
| // The image path | |
| String imagePath = dataDir + "p3.png"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| // Recognize page by full path to file | |
| try { | |
| String result = api.RecognizePage(imagePath); | |
| System.out.println("Result: " + result); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(PerformOCROnPDF.class); | |
| //Create an instance of Document to load the PDF file | |
| Document pdfDocument = new Document(dataDir + "Sample.pdf"); | |
| // Create an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| //Iterate over the pages of PDF | |
| for(int pageCount = 1; pageCount <= pdfDocument.getPages().size(); pageCount++) { | |
| //Create Resolution object with DPI value | |
| Resolution resolution = new com.aspose.pdf.devices.Resolution(300); | |
| //Create JPEG device with specified attributes (Width, Height, Resolution, Quality) | |
| //where Quality [0-100], 100 is Maximum | |
| JpegDevice jpegDevice = new com.aspose.pdf.devices.JpegDevice(resolution, 100); | |
| // Create stream object to save the output image | |
| java.io.OutputStream imageStream = new java.io.FileOutputStream(dataDir + "Output\\Converted_PDF_Image" + pageCount + ".jpg"); | |
| //Convert a particular page and save the image to stream | |
| jpegDevice.process(pdfDocument.getPages().get_Item(pageCount), imageStream); | |
| //Set Image property of OcrEngine to the image obtained from previous step | |
| ocrEngine.setImage(ImageStream.fromFile(dataDir + "Output\\Converted_PDF_Image" + pageCount + ".jpg")); | |
| //Perform OCR operation | |
| if (ocrEngine.process()) | |
| { | |
| System.out.println(ocrEngine.getText()); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(PrepareRectangles.class); | |
| // The image path | |
| String imagePath = dataDir + "p.png"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| //Prepare rectangles with texts. | |
| ArrayList<Rectangle> rectArray = new ArrayList<Rectangle>(); | |
| rectArray.add(new Rectangle(138, 352, 2033, 537)); | |
| rectArray.add(new Rectangle(147, 890, 2033, 1157)); | |
| rectArray.add(new Rectangle(923, 2045, 465, 102)); | |
| rectArray.add(new Rectangle(104, 2147, 2076, 819)); | |
| try { | |
| String result = api.RecognizePage(imagePath, rectArray); | |
| System.out.println("Result with rect: " + result); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| String dataDir = Utils.getSharedDataDir(ReadingPartInformation.class); | |
| // The image path | |
| String imagePath = dataDir + "Sampleocr.bmp"; | |
| // Set Image property by loading an image from file path | |
| ocrEngine.setImage(ImageStream.fromFile(imagePath)); | |
| // Run recognition process | |
| if (ocrEngine.process()) { | |
| System.out.println(ocrEngine.getText()); | |
| // Retrieve an array of recognized text by parts | |
| IRecognizedPartInfo[] text = ocrEngine.getText().getPartsInfo(); | |
| // Iterate over the text parts | |
| for (int i = 0; i < text.length; i++) { | |
| IRecognizedTextPartInfo symbol = (IRecognizedTextPartInfo) text[i]; | |
| // Display part information | |
| System.out.println("isItalic : " + symbol.getItalic()); | |
| System.out.println("Text Color : " + symbol.getTextColor()); | |
| System.out.println("Text : " + symbol.getText()); | |
| System.out.println("isTrimmed : " + symbol.isTrimmed()); | |
| float[] quality = symbol.getCharactersQuality(); | |
| System.out.println("Quality of first Character : " + quality[0]); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(RecognizeLine.class); | |
| // The image path | |
| String imagePath = dataDir + "0001460985.Jpeg"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR(); | |
| try { | |
| String result = api.RecognizeLine(imagePath); | |
| System.out.println("File: " + imagePath); | |
| System.out.println("Result line: " + result); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(SpecifyAllowedCharacters.class); | |
| // The image path | |
| String imagePath = dataDir + "0001460985.Jpeg"; | |
| //Create api instance | |
| AsposeOCR api = new AsposeOCR("123456789"); | |
| try { | |
| String result = api.RecognizeLine(imagePath); | |
| System.out.println("File: " + imagePath); | |
| System.out.println("Result line: " + result); | |
| } catch (IOException e) { | |
| e.printStackTrace(); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Initialize an instance of OcrEngine | |
| OcrEngine ocrEngine = new OcrEngine(); | |
| // The path to the documents directory. | |
| String dataDir = Utils.getSharedDataDir(ReadingPartInformation.class); | |
| // The image path | |
| String imageFileName = dataDir + "SpanishOCR.bmp"; | |
| // Set the Image property by loading the image from file path location | |
| ocrEngine.setImage(ImageStream.fromFile(imageFileName)); | |
| // Clear the default language (English) | |
| ocrEngine.getLanguageContainer().clear(); | |
| // Load the resources of the language from file path location or an instance of InputStream | |
| ocrEngine.getLanguageContainer().addLanguage(LanguageFactory.load(dataDir + "Aspose.OCR.Spanish.Resources.zip")); | |
| // Process the image | |
| if (ocrEngine.process()) { | |
| // Display the recognized text | |
| System.out.println(ocrEngine.getText()); | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(DetectingtheImageResolution.class); | |
| // Load the image to be analyzed | |
| OmrImage image = OmrImage.load(dataDir + "answers.jpg"); | |
| // Set the auto image resolution detection property | |
| image.setAutoDetectResolution(true); | |
| // Load template file | |
| OmrTemplate template = OmrTemplate.load(dataDir + "questions.amr"); | |
| // Instantiate the recognition engine for the template | |
| OmrEngine engine = new OmrEngine(template); | |
| // Extract data. This template has only one page. | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); | |
| // Get page data of extracted data | |
| Hashtable[] pages = result.getPageData(); | |
| int index = 0; | |
| // Iterate over the pages and display the data | |
| for (Hashtable page : pages) { | |
| System.out.println("------Page: " + index++); | |
| Set<String> keys = page.keySet(); | |
| for (Object key : keys) { | |
| String value = (String) page.get(key); | |
| System.out.println("key: " + key); | |
| System.out.println("value: '" + value + "'"); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| String dataDir = Utils.getDataDir(ExtractingBarcodeData.class); | |
| String templateFile = dataDir + "questions.amr"; | |
| String imageFile = dataDir + "answers.jpg"; | |
| // Set the license for Aspose.BarCode for Java in case BarCode elements | |
| // are used in the project | |
| License licenseBarCode = new License(); | |
| licenseBarCode.setLicense(dataDir + "Aspose.Total.Java.lic"); | |
| // Set the license for OMR package | |
| com.aspose.ocr.License licenseOmr = new com.aspose.ocr.License(); | |
| licenseOmr.setLicense(dataDir + "Aspose.Total.Java.lic"); | |
| // Load the template for mapping of elements | |
| OmrTemplate template = OmrTemplate.load(templateFile); | |
| // Add the BarCode element while specifying the location and size of | |
| // barcode | |
| java.awt.Dimension objDimension = new java.awt.Dimension(205, 205); | |
| BarcodeElement barcodeElement = new BarcodeElement("aztec", new Point2D.Float(0, 0), objDimension); | |
| // Add the BarCode element to the template page | |
| template.getPages().getItem(0).getElements().add(barcodeElement); | |
| // Load image to perform OMR | |
| OmrImage image = OmrImage.load(imageFile); | |
| // Initialize the OmrEngine with template file | |
| OmrEngine engine = new OmrEngine(template); | |
| // Start the recognition process by calling OmrEngine.extractData method | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); | |
| // Get all pages of extracted data | |
| Hashtable[] pages = result.getPageData(); | |
| int index = 0; | |
| // Iterate over the pages | |
| for (Hashtable page : pages) { | |
| System.out.println("------Page: " + index++); | |
| Set<String> keys = page.keySet(); | |
| for (String key : keys) { | |
| // Display the result for each key | |
| String value = (String) page.get(key); | |
| System.out.println("key: " + key); | |
| System.out.println("value: '" + value + "'"); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(ExtractingOMRData.class); | |
| // Initialize a string with template file location | |
| String templateFile = dataDir + "questions.amr"; | |
| // Initialize a string with scanned image file location | |
| String imageFile = dataDir + "answers.jpg"; | |
| // Create an instance of OmrTemplate class and load the template using | |
| // the factory method Load | |
| OmrTemplate template = OmrTemplate.load(templateFile); | |
| // Create an instance of OmrImage class and load the template using the | |
| // factory method Load | |
| OmrImage image = OmrImage.load(imageFile); | |
| // Create an instance of OmrEngine class | |
| OmrEngine engine = new OmrEngine(template); | |
| // Extract the OMR data | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); | |
| // Get page data of extracted data | |
| Hashtable[] pages = result.getPageData(); | |
| int index = 0; | |
| // Iterate over the pages and display the data | |
| for (Hashtable page : pages) { | |
| System.out.println("------Page: " + index++); | |
| Set<String> keys = page.keySet(); | |
| for (Object key : keys) { | |
| String value = (String) page.get(key); | |
| System.out.println("key: " + key); | |
| System.out.println("value: '" + value + "'"); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(ExtractTextDatafromScannedOMRForm.class); | |
| /// Set the paths | |
| String imageFile = dataDir + "answers.jpg"; | |
| String templateFile = dataDir + "questions.amr"; | |
| // Create an instance of OmrTemplate and load the template file | |
| OmrTemplate template = OmrTemplate.load(templateFile); | |
| // Set resource for TextOcrElement | |
| TextOcrElement.setResource(dataDir + "Aspose.OCR.Spanish.Resources.zip"); | |
| // Create an instance of TextOcrElement and initialize it by specifying | |
| // the location of text and its size in mm | |
| java.awt.Dimension objDimension = new java.awt.Dimension(15, 5); | |
| TextOcrElement textElement = new TextOcrElement("OCR Text", new Point2D.Float(23.6f, 15.5f), objDimension); | |
| // Add TextOcrElement to the template's element collection | |
| template.getPages().getItem(0).getElements().add(textElement); | |
| // Create an instance of OmrImage and load the scanned image | |
| OmrImage image = OmrImage.load(imageFile); | |
| // Create an instance of OmrEngine and initialize it with an object of | |
| // OmrTemplate | |
| OmrEngine engine = new OmrEngine(template); | |
| // Start the recognition process by calling OmrEngine.extractData method | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); | |
| // Get all pages of extracted data | |
| Hashtable[] pages = result.getPageData(); | |
| int index = 0; | |
| // Iterate over the pages | |
| for (Hashtable page : pages) { | |
| System.out.println("------Page: " + index++); | |
| Set<String> keys = page.keySet(); | |
| // Display the result for each key | |
| for (String key : keys) { | |
| String value = (String) page.get(key); | |
| System.out.println("key: " + key); | |
| System.out.println("value: '" + value + "'"); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| String templateUrl = "https://Github.com/asposeocr/Aspose_OCR_NET/raw/master/Examples/Data/OCR/questions.amr"; | |
| String imageUrl = "https://Github.com/asposeocr/Aspose_OCR_NET/raw/master/Examples/Data/OCR/answers.jpg"; | |
| // Initialize an instance of OmrTemplate by loading the OMR template | |
| // from URL | |
| OmrTemplate template = OmrTemplate.loadFromUrl(templateUrl); | |
| // image loading from url | |
| OmrImage image = OmrImage.loadFromUrl(imageUrl); | |
| // continue working with template and image as usual | |
| OmrEngine engine = new OmrEngine(template); | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); | |
| // Get all pages of extracted data | |
| Hashtable[] pages = result.getPageData(); | |
| int index = 0; | |
| // Iterate over the pages | |
| for (Hashtable page : pages) { | |
| System.out.println("------Page: " + index++); | |
| Set<String> keys = page.keySet(); | |
| // Display the result for each key | |
| for (String key : keys) { | |
| String value = (String) page.get(key); | |
| System.out.println("key: " + key); | |
| System.out.println("value: '" + value + "'"); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Create an instance of OCR Metered class | |
| com.aspose.ocr.metered.Metered metered = new com.aspose.ocr.metered.Metered(); | |
| // Access the setMeteredKey property and pass public and private keys as parameters | |
| metered.setMeteredKey("publicKeyValue", "privateKeyValue"); | |
| // Get consumed qantity value before accessing API | |
| double amountBefore = com.aspose.ocr.metered.Metered.getConsumptionQuantity(); | |
| System.out.println(amountBefore); | |
| // DO PROCESSING | |
| // set up OMR engine | |
| // com.aspose.omr.OmrEngine omr = new com.aspose.omr.OmrEngine(new com.aspose.omr.OmrTemplate()); | |
| // String path = "sampleimage.png"; | |
| // com.aspose.omr.OmrImage omrImage = com.aspose.omr.OmrImage.load(path); | |
| // Since upload data is running on another thread, so we need wait some time | |
| Thread.sleep(10000); | |
| // get metered data amount | |
| double amountAfter = com.aspose.ocr.metered.Metered.getConsumptionQuantity(); | |
| System.out.println(amountAfter); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(OMRElements.class); | |
| // Initialize a string with file path to the template | |
| String templateFile = dataDir + "template.amr"; | |
| // Create an instance of OmrTemplate and load the template | |
| OmrTemplate template = OmrTemplate.load(templateFile); | |
| // Iterate over the pages in template | |
| for (Object opage : template.getPages()) { | |
| OmrPage page = (OmrPage) opage; | |
| // Get elements of each page | |
| OmrElementsCollection collection = page.getElements(); | |
| // Iterate over the element collection | |
| for (Object obj : collection) { | |
| // Display element name | |
| System.out.println(obj.getClass().toString()); | |
| } | |
| } |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(SettingElementLevelThreshold.class); | |
| // Load template | |
| OmrTemplate template = OmrTemplate.load(dataDir + "template.amr"); | |
| // Load image | |
| OmrImage image = OmrImage.load(dataDir + "sample1.jpg"); | |
| // Get the first page of the template | |
| OmrPage page = template.getPages().getItem(0); | |
| // Create an element by passing the name, location and size | |
| java.awt.Dimension objDimension = new java.awt.Dimension(60, 30); | |
| GridElement element = new GridElement("grid1", new Point2D.Float(10, 20), objDimension); | |
| // Add element to the page | |
| page.getElements().add(element); | |
| // Create configuration for the element | |
| element.setConfiguration(new OmrConfig()); | |
| // Set the TrimWhitePixels to false | |
| element.getConfiguration().setTrimWhitePixels(false); | |
| // Create an instance of OmrEngine and pass object of OmrTemplate as | |
| // parameter | |
| OmrEngine engine = new OmrEngine(template); | |
| // Extract the data | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(SettingGlobalThreshold.class); | |
| // Load template | |
| OmrTemplate template = OmrTemplate.load(dataDir + "template.amr"); | |
| // Load image | |
| OmrImage image = OmrImage.load(dataDir + "sample1.jpg"); | |
| // Create an instance of OmrEngine and pass object of OmrTemplate as | |
| // parameter | |
| OmrEngine engine = new OmrEngine(template); | |
| // Get the configurations of OmrEngine | |
| OmrConfig config = engine.getConfiguration(); | |
| // Set fill threshold | |
| config.setFillThreshold(0.12); | |
| // Extract the data | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(SettingPageLevelThreshold.class); | |
| // Load template | |
| OmrTemplate template = OmrTemplate.load(dataDir + "template.amr"); | |
| // Load image | |
| OmrImage image = OmrImage.load(dataDir + "sample1.jpg"); | |
| // Get the first page of the template | |
| OmrPage page = template.getPages().getItem(0); | |
| // Create page configurations | |
| page.setConfiguration(new OmrConfig()); | |
| // Set fill threshold | |
| page.getConfiguration().setFillThreshold(0.21); | |
| // Create an instance of OmrEngine and pass object of OmrTemplate as | |
| // parameter | |
| OmrEngine engine = new OmrEngine(template); | |
| // Extract the data | |
| OmrProcessingResult result = engine.extractData(new OmrImage[] { image }); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // The path to the documents directory. | |
| String dataDir = Utils.getDataDir(SettingtheResolutionforOMRImage.class); | |
| // Load the image to be analyzed | |
| OmrImage image = OmrImage.load(dataDir + "sample1.jpg"); | |
| // Define new value of image resolution in double format | |
| image.setResolution(210.0); // overwrites the old DPI value |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Load image | |
| String dataDir = Utils.getDataDir(SkewImageCorrectionAlgorithm.class); | |
| com.aspose.omr.OmrImage image = com.aspose.omr.OmrImage.load(dataDir + "answers.jpg"); | |
| // Area of the image to be processed | |
| java.awt.Rectangle area = new java.awt.Rectangle(0, 0, image.getWidth(), image.getHeight()); | |
| // Grayscale conversion | |
| com.aspose.omr.imageprocessing.GrayscaleAlgorithm gs = new com.aspose.omr.imageprocessing.GrayscaleAlgorithm(); | |
| gs.process(image, area); | |
| // Binarization | |
| com.aspose.omr.imageprocessing.AverageThresholdAlgorithm threshold = new com.aspose.omr.imageprocessing.AverageThresholdAlgorithm(); | |
| threshold.process(image, area); | |
| // Skew correction | |
| com.aspose.omr.imageprocessing.SkewCorrectionAlgorithm skewCorrection = new com.aspose.omr.imageprocessing.SkewCorrectionAlgorithm(); | |
| skewCorrection.process(image, area); | |
| // save image | |
| java.io.File fileObj = new java.io.File(dataDir + "result.jpg"); | |
| ImageIO.write(image.asBitmap(), "jpg", fileObj); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| // Load image | |
| String dataDir = Utils.getDataDir(SkewImageCorrectionUsingAlgorithm.class); | |
| OmrImage image = OmrImage.load(dataDir + "sample1.jpg"); | |
| // Use empty template or load any existing template | |
| OmrEngine engine = new OmrEngine(new OmrTemplate()); | |
| // Get skew degree of the image | |
| int degree = engine.getSkewDegree(image); | |
| // Rotate image to correct skew | |
| engine.rotateImage(image, degree); | |
| // Save image | |
| File fileObj = new java.io.File(dataDir + "result.jpg"); | |
| ImageIO.write(image.asBitmap(), "jpg", fileObj); |
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| // For complete examples and data files, please go to https://github.com/aspose-ocr/Aspose.OCR-for-Java | |
| String dataDir = Utils.getDataDir(SpecifydifferentBarcodetypes.class); | |
| String templateFile = dataDir + "sample_1.amr"; | |
| String imageFile = dataDir + "sample1.jpg"; | |
| // Set the license for Aspose.BarCode for Java in case BarCode elements | |
| // are used in the project | |
| com.aspose.barcode.License licenseBarCode = new com.aspose.barcode.License(); | |
| licenseBarCode.setLicense(dataDir + "Aspose.Total.Java.lic"); | |
| // Set the license for OMR package | |
| com.aspose.ocr.License licenseOmr = new com.aspose.ocr.License(); | |
| licenseOmr.setLicense(dataDir + "Aspose.Total.Java.lic"); | |
| // Load the template for mapping of elements | |
| OmrTemplate template = OmrTemplate.load(templateFile); | |
| // Add the BarCode element while specifying the location and size of | |
| // barcode | |
| java.awt.Dimension objDimension = new java.awt.Dimension(205, 205); | |
| BarcodeElement barcodeElement = new BarcodeElement("aztec", new Point2D.Float(0, 0), objDimension); | |
| // Set the symbologies type of the element. | |
| barcodeElement.setBarCodeType(com.aspose.barcoderecognition.BarCodeReadType.Aztec); | |
| // Do Processing |
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