/// <summary>
/// Silent and short version of recognition workflow
/// </summary>
public static void RecognizeShort()
{
// ---------------------------------------
// input and output preparation
string testFolderPath = Path.Combine(FindDataFolder(), TestDataFolderName);
Console.WriteLine("Test folder located. Path: " + testFolderPath);
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = Path.Combine(testFolderPath, "Result");
if (!Directory.Exists(outputPath))
{
Directory.CreateDirectory(outputPath);
}
// ---------------------------------------
// actual OMR API calls
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
for (int i = 0; i < UserImages.Length; i++)
{
string imagePath = Path.Combine(testFolderPath, UserImages[i]);
string csvResult = templateProcessor.RecognizeImage(imagePath).GetCsv();
File.WriteAllText(Path.Combine(outputPath, UserImages[i] + ".csv"), csvResult);
}
}
public static void Run()
{
// ExStart:SetElementLevelThreshold
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
// Get the first page of the template
OmrPage page = template.Pages[0];
// Create an element by passing the name, location and size
GridElement element = new GridElement("grid1", new PointF(10, 20), new SizeF(60, 30));
// Add element to the page
page.Elements.Add(element);
// Create configuration for the element
element.Configuration = new OmrConfig();
// Set the TrimWhitePixels to false
element.Configuration.TrimWhitePixels = 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 });
// ExEnd:SetElementLevelThreshold
}
public static void Run()
{
// ExStart:1
string TemplateName = @"Sheet.omr";
string[] UserImages = new string[] { "Sheet1.jpg", "Sheet2.jpg" };
int CustomThreshold = 40;
// input and output preparation
string testFolderPath = RunExamples.GetSourceDir();
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = RunExamples.GetResultDir();
// actual OMR API calls
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
for (int i = 0; i < UserImages.Length; i++)
{
string imagePath = Path.Combine(testFolderPath, UserImages[i]);
string csvResult = templateProcessor.RecognizeImage(imagePath, CustomThreshold).GetCsv();
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImages[i]) + "_Threshold.csv"), csvResult);
Console.WriteLine("Result exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImages[i]) + "_Threashold.csv"));
}
Console.WriteLine("PerformOMRWithThreshold executed successfully.\n\r");
// ExEnd:1
}
public static void Run()
{
// ExStart:SettingMarkThreshold
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.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.Configuration;
// Set fill threshold
config.FillThreshold = 0.12;
// Extract the data
OmrProcessingResult result = engine.ExtractData(new OmrImage[] { image });
// ExEnd:SettingMarkThreshold
}
public static void Run()
{
// ExStart:1
// input and output preparation
string testFolderPath = RunExamples.GetGenerationSourceDir();
string outputPath = RunExamples.GetResultDir();
string[] images = { Path.Combine(testFolderPath, "Aspose.jpg") };
// initialize engine
OmrEngine engine = new OmrEngine();
GenerationResult res = engine.GenerateTemplate(Path.Combine(testFolderPath, "AsposeTestWithImage.txt"), images);
// check in case of errors
if (res.ErrorCode != 0)
{
Console.WriteLine("ERROR CODE: " + res.ErrorCode);
}
// save generation result: image and .omr template
res.Save(outputPath, "AsposeTestWithImage");
// ExEnd:1
Console.WriteLine("GenerateTemplateWithImages executed successfully.\n\r");
}
public static void Run()
{
// ExStart:1
string TemplateName = @"AsposeTestWithBarcode.omr";
string UserImage = "AsposeTestWithBarcode.jpg";
// input and output preparation
string testFolderPath = RunExamples.GetSourceDir();
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = RunExamples.GetResultDir();
// actual OMR API calls
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
string imagePath = Path.Combine(testFolderPath, UserImage);
string csvResult = templateProcessor.RecognizeImage(imagePath).GetCsv();
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImage) + ".csv"), csvResult);
Console.WriteLine("Result exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(UserImage) + ".csv"));
Console.WriteLine("OMROperationWithBarcodeRecognition executed successfully.\n\r");
// ExEnd:1
}
public static void Run()
{
// ExStart:LoadTemplateFromUrl
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 page data into an instance of Hashtable
Hashtable[] pages = result.PageData;
// Loop over all the pages
foreach (Hashtable page in pages)
{
// Display key and value
foreach (string key in page.Keys)
{
Console.WriteLine("[KEY] " + key + " => " + "[VALUE] " + page[key]);
}
}
// ExEnd:LoadTemplateFromUrl
}
public static void Run()
{
// ExStart:LoadTemplateFromUrl
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 page data into an instance of Hashtable
Hashtable[] pages = result.PageData;
// Loop over all the pages
foreach (Hashtable page in pages)
{
// Display key and value
foreach (string key in page.Keys)
{
Console.WriteLine("[KEY] " + key + " => " + "[VALUE] " + page[key]);
}
}
// ExEnd:LoadTemplateFromUrl
}
public static void Run()
{
// ExStart:SetImageResolution
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
// Define new value of image resolution in decimal format
image.Resolution = 100.0;
// 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 });
// Load actual result from
Hashtable OmrResult = result.PageData[0];
// Get Collection of Keys
ICollection key = OmrResult.Keys;
foreach (string k in key)
{
Console.WriteLine(k + ": " + OmrResult[k]);
}
// ExEnd:SetImageResolution
}
public static void Run()
{
// ExStart:1
// input and output preparation
string testFolderPath = RunExamples.GetGenerationSourceDir();
string outputPath = RunExamples.GetResultDir();
string[] GenerationMarkups = new string[] { "Sheet.txt", "Grid.txt", "AsposeTest.txt" };
// initialize engine
OmrEngine engine = new OmrEngine();
for (int i = 0; i < GenerationMarkups.Length; i++)
{
// call template generation providing path to the txt file with markup
GenerationResult res = engine.GenerateTemplate(Path.Combine(testFolderPath, GenerationMarkups[i]));
// check in case of errors
if (res.ErrorCode != 0)
{
Console.WriteLine("ERROR CODE: " + res.ErrorCode);
}
// save generation result: image and .omr template
res.Save(outputPath, Path.GetFileNameWithoutExtension(GenerationMarkups[i]));
}
// ExEnd:1
Console.WriteLine("GenerateTemplates executed successfully.\n\r");
}
static void ProcessScansAndExportData()
{
//fully qualified output path where the scanned images of the forms will be located.
var scannedImagePath = AppDomain.CurrentDomain.BaseDirectory + @"Scans\";
///fully qualified path to the form template
var templatePath = AppDomain.CurrentDomain.BaseDirectory + "OmrOutput.omr";
//initialize an instance of the Aspose OMR engine
var omrEngine = new OmrEngine();
//retrieve all images from the Scans folder
var dirInfo = new DirectoryInfo(scannedImagePath);
var files = dirInfo.GetFiles("*.jpg");
//use the omrEngine to create an instance of the template processor based on the generated template
var templateProcessor2 = omrEngine.GetTemplateProcessor(templatePath);
foreach (var file in files)
{
//use the template processor to extract form data from the form image
string jsonResults = templateProcessor2.RecognizeImage(file.FullName, 28).GetJson();
//save the extracted data in a json file
File.WriteAllText(AppDomain.CurrentDomain.BaseDirectory + Path.GetFileNameWithoutExtension(file.FullName) + "_scan_results.json", jsonResults);
}
}
public static void Run()
{
// ExStart:SetElementLevelThreshold
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
// Get the first page of the template
OmrPage page = template.Pages[0];
// Create an element by passing the name, location and size
GridElement element = new GridElement("grid1", new PointF(10, 20), new SizeF(60, 30));
// Add element to the page
page.Elements.Add(element);
// Create configuration for the element
element.Configuration = new OmrConfig();
// Set the TrimWhitePixels to false
element.Configuration.TrimWhitePixels = 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 });
// ExEnd:SetElementLevelThreshold
}
public static void Run()
{
// ExStart:DetectImageResolutionAutomatically
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
//Set the auto image resolution detection property
image.AutoDetectResolution = true;
// 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 });
// Load actual result from
Hashtable OmrResult = result.PageData[0];
// Get Collection of Keys
ICollection key = OmrResult.Keys;
foreach (string k in key)
{
Console.WriteLine(k + ": " + OmrResult[k]);
}
// ExEnd:DetectImageResolutionAutomatically
}
public static void Run()
{
// ExStart:SettingMarkThreshold
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.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.Configuration;
// Set fill threshold
config.FillThreshold = 0.12;
// Extract the data
OmrProcessingResult result = engine.ExtractData(new OmrImage[] { image });
// ExEnd:SettingMarkThreshold
}
public static void Run()
{
// ExStart:1
string TemplateName = @"Sheet.omr";
string[] UserImages = new string[] { "Sheet1.jpg", "Sheet2.jpg" };
string testFolderPath = RunExamples.GetSourceDir();
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = RunExamples.GetResultDir();
int CustomThreshold = 40;
// init engine and get template processor
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
for (int i = 0; i < UserImages.Length; i++)
{
string image = UserImages[i];
string imagePath = Path.Combine(testFolderPath, image);
Console.WriteLine("\n\rProcessing image: " + imagePath);
// timer for performance measure
Stopwatch sw = Stopwatch.StartNew();
// recognize image
RecognitionResult result = templateProcessor.RecognizeImage(imagePath);
sw.Stop();
Console.WriteLine("Recognition time: " + sw.Elapsed);
// get export csv string
string stringRes = result.GetCsv();
// save csv to output folder
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + ".csv"), stringRes);
Console.WriteLine("Result Exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + ".csv"));
sw.Restart();
// recalculate recognition results with custom threshold
Console.WriteLine("\n\rPerformaing recalculation\n\r");
templateProcessor.Recalculate(result, CustomThreshold);
sw.Stop();
Console.WriteLine("Recalculation time: " + sw.Elapsed);
// get export csv string
stringRes = result.GetCsv();
// save recalculated results
File.WriteAllText(Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + "_Recalculated.csv"), stringRes);
Console.WriteLine("Recalculation result exported. Path: " + Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + "_Recalculated.csv"));
}
Console.WriteLine("PerformOMRRecalculation executed successfully.\n\r");
// ExEnd:1
}
/// <summary>
/// Method demonstrated full OMR workflow.
/// </summary>
public static void Recognize()
{
// Set custom threshold to use in recalculation
int CustomThreshold = 40;
string testFolderPath = Path.Combine(FindDataFolder(), TestDataFolderName);
Console.WriteLine("Test folder located. Path: " + testFolderPath);
string templatePath = Path.Combine(testFolderPath, TemplateName);
string outputPath = Path.Combine(testFolderPath, "Result");
if (!Directory.Exists(outputPath))
{
Directory.CreateDirectory(outputPath);
}
// init engine and get template processor
OmrEngine engine = new OmrEngine();
TemplateProcessor templateProcessor = engine.GetTemplateProcessor(templatePath);
Console.WriteLine("Template loaded.");
for (int i = 0; i < UserImages.Length; i++)
{
string image = UserImages[i];
string imagePath = Path.Combine(testFolderPath, image);
Console.WriteLine("Processing image: " + imagePath);
// recognize image
RecognitionResult result = templateProcessor.RecognizeImage(imagePath);
// get export csv string
string stringRes = result.GetCsv();
// save csv to output folder
string outputName = Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + ".csv");
File.WriteAllText(outputName, stringRes);
Console.WriteLine("Export done. Path: " + outputName);
// recalculate recognition results with custom threshold
templateProcessor.Recalculate(result, CustomThreshold);
// get export csv string
stringRes = result.GetCsv();
// save recalculated results
outputName = Path.Combine(outputPath, Path.GetFileNameWithoutExtension(image) + "_recalculated.csv");
File.WriteAllText(outputName, stringRes);
Console.WriteLine("Recalculated result export done. Path: " + outputName);
Console.WriteLine();
}
}
/// <summary>
/// Loads and displays CorrectionControl
/// </summary>
private void GetButtonClicked(object sender, RoutedEventArgs e)
{
this.DataFolderPath = Path.Combine(FindDataFolder(), TestDataFolderName);
string templatePath = Path.Combine(this.DataFolderPath, TemplateName);
OmrEngine engine = new OmrEngine();
TemplateProcessor processor = engine.GetTemplateProcessor(templatePath);
control = engine.GetCorrectionControl(processor);
CustomContentControl.Content = control;
control.Initialize();
}
public static void Run()
{
try
{
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "sample_1.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "sample1.jpg");
// do not forget to set the license for BarCode in case BarCode elements are used
//Aspose.BarCode.License licenseBarCode = new Aspose.BarCode.License();
//licenseBarCode.SetLicense(dataDir + "Aspose.Total.lic");
//// do not forget to set the license for BarCode in case BarCode elements are used
//var licenseOmr = new Aspose.OCR.License();
//licenseOmr.SetLicense(dataDir + "Aspose.Total.lic");
// Adding BarCode element requires creation of BarcodeElement object
// While specifying the barcode display name, its position and size
BarcodeElement barcodeElement = new BarcodeElement("Aztec BarCode", new PointF(0, 0), new SizeF(205, 205));
// Add the BarCode element to the page element collection
template.Pages[0].Elements.Add(barcodeElement);
// Create an instance of OmrEngine and load the template using file path
OmrEngine engine = new OmrEngine(template);
// Extract OMR data and store the results in an instance of OmrProcessingResults
OmrProcessingResult result = engine.ExtractData(new[] { image });
// Get all page data into an instance of Hashtable
Hashtable[] pages = result.PageData;
// Loop over all the pages
foreach (Hashtable page in pages)
{
// Display key and value
foreach (string key in page.Keys)
{
Console.WriteLine("key: " + key + ": " + "value: " + page[key]);
}
}
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
// Console.WriteLine(ex.Message + "\nThis example will only work if you apply a valid Aspose License. You can purchase full license or get 30 day temporary license from http:// Www.aspose.com/purchase/default.aspx.");
}
}
public static OmrEngine GetOmrEngine()
{
if (_omrEngine == null)
{
_omrEngine = new OmrEngine();
Leadtools.Barcode.BarcodeEngine bce = new Leadtools.Barcode.BarcodeEngine();
_omrEngine.EnginesObject.BarcodeEngine = bce;
_omrEngine.EnginesObject.OcrEngine = GetOcrEngine();
}
return(_omrEngine);
}
public static void Run()
{
try
{
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "sample_1.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "sample1.jpg");
// do not forget to set the license for BarCode in case BarCode elements are used
//Aspose.BarCode.License licenseBarCode = new Aspose.BarCode.License();
//licenseBarCode.SetLicense(dataDir + "Aspose.Total.lic");
//// do not forget to set the license for BarCode in case BarCode elements are used
//var licenseOmr = new Aspose.OCR.License();
//licenseOmr.SetLicense(dataDir + "Aspose.Total.lic");
// Adding BarCode element requires creation of BarcodeElement object
// While specifying the barcode display name, its position and size
BarcodeElement barcodeElement = new BarcodeElement("Aztec BarCode", new PointF(0, 0), new SizeF(205, 205));
// Add the BarCode element to the page element collection
template.Pages[0].Elements.Add(barcodeElement);
// Create an instance of OmrEngine and load the template using file path
OmrEngine engine = new OmrEngine(template);
// Extract OMR data and store the results in an instance of OmrProcessingResults
OmrProcessingResult result = engine.ExtractData(new[] { image });
// Get all page data into an instance of Hashtable
Hashtable[] pages = result.PageData;
// Loop over all the pages
foreach (Hashtable page in pages)
{
// Display key and value
foreach (string key in page.Keys)
{
Console.WriteLine("key: " + key + ": " + "value: " + page[key]);
}
}
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
// Console.WriteLine(ex.Message + "\nThis example will only work if you apply a valid Aspose License. You can purchase full license or get 30 day temporary license from http:// Www.aspose.com/purchase/default.aspx.");
}
}
public static void Run()
{
// ExStart:DetectUsingElements
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file and Instantiate the recognition engine for the template
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
OmrEngine engine = new OmrEngine(template);
// First, remove all default steps
engine.ProcessingPipeline.Clear();
// Now add the grayscale convertor It may not be necessary to add it if the scans are already in grayscale and Adding the Otsu’s binarization algorithm
engine.ProcessingPipeline.Add(new GrayscaleAlgorithm());
engine.ProcessingPipeline.Add(new OtsuBinarizationAlgorithm());
// ExEnd:DetectUsingElements
}
public static void Run()
{
// ExStart:DetectUsingElements
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file and Instantiate the recognition engine for the template
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
OmrEngine engine = new OmrEngine(template);
// First, remove all default steps
engine.ProcessingPipeline.Clear();
// Now add the grayscale convertor It may not be necessary to add it if the scans are already in grayscale and Adding the Otsu’s binarization algorithm
engine.ProcessingPipeline.Add(new GrayscaleAlgorithm());
engine.ProcessingPipeline.Add(new OtsuBinarizationAlgorithm());
// ExEnd:DetectUsingElements
}
static void GenerateFormTemplateAndImage()
{
//fully qualified path to the form markup file
var formMarkupFilePath = AppDomain.CurrentDomain.BaseDirectory + "QuestionnaireMarkup.txt";
//initialize an instance of the Aspose OMR engine
var omrEngine = new OmrEngine();
//use the Aspose OMR engine to generate the template and image from the markup file
var result = omrEngine.GenerateTemplate(formMarkupFilePath);
if (result.ErrorCode != 0)
{
Console.WriteLine($"ERROR: {result.ErrorCode} - {result.ErrorMessage}");
}
else
{
//save the files as OmrOutput.omr for the template, and OmrOutput.png for the form image
result.Save("", "OmrOutput");
}
}
public static void Run()
{
// ExStart:SkewedImageSecondMethod
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
OmrEngine engine = new OmrEngine(new OmrTemplate());
// Get skew degree of the image
double degree = engine.GetSkewDegree(image);
// Rotate image to correct skew
engine.RotateImage(ref image, degree);
// Save image
image.AsBitmap().Save(dataDir + "result_out.jpg");
// ExEnd:SkewedImageSecondMethod
}
public static void Run()
{
// ExStart:SkewedImageSecondMethod
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
OmrEngine engine = new OmrEngine(new OmrTemplate());
// Get skew degree of the image
double degree = engine.GetSkewDegree(image);
// Rotate image to correct skew
engine.RotateImage(ref image, degree);
// Save image
image.AsBitmap().Save(dataDir + "result_out.jpg");
// ExEnd:SkewedImageSecondMethod
}
public static void Run()
{
// ExStart:ExtractText
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
// Set resource for TextOcrElement
TextOcrElement.Resource = 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
TextOcrElement textElement = new TextOcrElement("OCR Text", new PointF(23.6f, 15.5f), new SizeF(14.6f, 4.7f));
// Add the TextOcrElement to the page element collection
template.Pages[0].Elements.Add(textElement);
// Create an instance of OmrEngine and load the template using file path
OmrEngine engine = new OmrEngine(template);
// Extract OMR data and store the results in an instance of OmrProcessingResults
OmrProcessingResult result = engine.ExtractData(new OmrImage[] { image });
// Get all page data into an instance of Hashtable
Hashtable[] pages = result.PageData;
// Loop over all the pages
foreach (Hashtable page in pages)
{
// Display key and value
foreach (string key in page.Keys)
{
Console.WriteLine("key: " + key + ": " + "value: " + page[key]);
}
}
// ExEnd:ExtractText
}
public static void Run()
{
// ExStart:ExtractText
// The path to the documents directory.
string dataDir = RunExamples.GetDataDir_OCR();
// Load template file
OmrTemplate template = OmrTemplate.Load(dataDir + "questions.amr");
// Load the image to be analyzed
OmrImage image = OmrImage.Load(dataDir + "answers.jpg");
// Set resource for TextOcrElement
TextOcrElement.Resource = 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
TextOcrElement textElement = new TextOcrElement("OCR Text", new PointF(23.6f, 15.5f), new SizeF(14.6f, 4.7f));
// Add the TextOcrElement to the page element collection
template.Pages[0].Elements.Add(textElement);
// Create an instance of OmrEngine and load the template using file path
OmrEngine engine = new OmrEngine(template);
// Extract OMR data and store the results in an instance of OmrProcessingResults
OmrProcessingResult result = engine.ExtractData(new OmrImage[] { image });
// Get all page data into an instance of Hashtable
Hashtable[] pages = result.PageData;
// Loop over all the pages
foreach (Hashtable page in pages)
{
// Display key and value
foreach (string key in page.Keys)
{
Console.WriteLine("key: " + key + ": " + "value: " + page[key]);
}
}
// ExEnd:ExtractText
}
