public FormPages ProcessForm(
string fileName,
AutoFormsRecognizeFormResult formResult
)
Public Overloads Function ProcessForm( _
ByVal fileName As String, _
ByVal formResult As AutoFormsRecognizeFormResult _
) As FormPages
public FormPages processForm(
java.lang.String,
AutoFormsRecognizeFormResult
);
public:
FormPages^ ProcessForm(
String^ fileName,
AutoFormsRecognizeFormResult^ formResult
)
fileName
A System.String containing the unknown form image file.
formResult
The form recognition result that has been returned by RecognizeForm(RasterImage,List<IMasterFormsCategory>).
The processed fields if the Master Form has fields, otherwise it returns null.
This method processes the recognized form fields. The Master Form fields are obtained by calling IMasterForm.ReadFields of the AutoFormsRecognizeFormResult.MasterForm.
The fileName should have all form pages.
The form alignment is calculated from the recognition results.
using Leadtools;
using Leadtools.Codecs;
using Leadtools.Forms.Common;
using Leadtools.Forms.Auto;
using Leadtools.Ocr;
using Leadtools.Forms.Recognition;
using Leadtools.Forms.Processing;
using Leadtools.Barcode;
public void AutoFormRecognitionAndProcessing2File()
{
string root = Path.Combine(LEAD_VARS.ImagesDir, @"Forms\FormsDemo\OCR_Test");
RasterCodecs codecs = new RasterCodecs();
DiskMasterFormsRepository repository = new DiskMasterFormsRepository(codecs, root);
using (IOcrEngine ocrEngine = OcrEngineManager.CreateEngine(OcrEngineType.LEAD))
{
ocrEngine.Startup(null, null, null, LEAD_VARS.OcrLEADRuntimeDir);
BarcodeEngine barcodeEngine = new BarcodeEngine();
AutoFormsEngine autoEngine = new AutoFormsEngine(repository, ocrEngine, barcodeEngine);
autoEngine.MinimumConfidenceRecognized = 80;
AutoFormsRecognizeFormResult result = autoEngine.RecognizeForm(Path.Combine(LEAD_VARS.ImagesDir, @"Forms\Forms to be Recognized\OCR\FCC-107_OCR_Filled.tif"), null);
if (result == null)
return;
FormPages formFields = autoEngine.ProcessForm(Path.Combine(LEAD_VARS.ImagesDir, @"Forms\Forms to be Recognized\OCR\FCC-107_OCR_Filled.tif"), result);
}
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS21\Resources\Images";
public const string OcrLEADRuntimeDir = @"C:\LEADTOOLS21\Bin\Common\OcrLEADRuntime";
}
Imports Leadtools
Imports Leadtools.Codecs
Imports Leadtools.Forms.Common
Imports Leadtools.Forms.Auto
Imports Leadtools.Ocr
Imports Leadtools.Forms.Recognition
Imports Leadtools.Forms.Processing
Imports Leadtools.Barcode
Public Sub AutoFormRecognitionAndProcessing2File()
Dim root As String = Path.Combine(LEAD_VARS.ImagesDir, "Forms\FormsDemo\OCR_Test")
Dim codecs_Renamed As RasterCodecs = New RasterCodecs()
Dim repository As DiskMasterFormsRepository = New DiskMasterFormsRepository(codecs_Renamed, root)
Using ocrEngine As IOcrEngine = OcrEngineManager.CreateEngine(OcrEngineType.LEAD)
ocrEngine.Startup(Nothing, Nothing, Nothing, LEAD_VARS.OcrLEADRuntimeDir)
Dim engineBarcode As BarcodeEngine = New BarcodeEngine()
Dim autoEngine As AutoFormsEngine = New AutoFormsEngine(repository, ocrEngine, engineBarcode)
autoEngine.MinimumConfidenceRecognized = 80
Dim result As AutoFormsRecognizeFormResult = autoEngine.RecognizeForm(Path.Combine(LEAD_VARS.ImagesDir, "Forms\Images\FCC-107_OCR_Filled.tif"), Nothing)
If result Is Nothing Then
Return
End If
Dim formFields As FormPages = autoEngine.ProcessForm(Path.Combine(LEAD_VARS.ImagesDir, "Forms\Images\FCC-107_OCR_Filled.tif"), result)
End Using
End Sub
Public NotInheritable Class LEAD_VARS
Public Const ImagesDir As String = "C:\LEADTOOLS21\Resources\Images"
Public Const OcrLEADRuntimeDir As String = "C:\LEADTOOLS21\Bin\Common\OcrLEADRuntime"
End Class
Help Collections
Raster .NET | C API | C++ Class Library | HTML5 JavaScript
Document .NET | C API | C++ Class Library | HTML5 JavaScript
Medical .NET | C API | C++ Class Library | HTML5 JavaScript
Medical Web Viewer .NET
Multimedia
Direct Show .NET | C API | Filters
Media Foundation .NET | C API | Transforms
Supported Platforms
.NET, Java, Android, and iOS/macOS Assemblies
Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document