Performs field processing on the recognized page image.
Syntax
public PageAlignment ProcessPage(
Uri url,
int pageNumber,
FormRecognitionAttributes masterAttributes,
FormPage pageFields
)
Public Overloads Function ProcessPage( _
ByVal url As Uri, _
ByVal pageNumber As Integer, _
ByVal masterAttributes As FormRecognitionAttributes, _
ByVal pageFields As FormPage _
) As PageAlignment
public PageAlignment processPage(
java.net.URI,
int,
FormRecognitionAttributes,
FormPage
);
public:
PageAlignment^ ProcessPage(
Uri^ url,
int pageNumber,
FormRecognitionAttributes^ masterAttributes,
FormPage^ pageFields
)
url
A System.Uri containing the recognized page image data.
pageNumber
1-based index of the in url.
masterAttributes
Master Form attributes of the recognized page type.
pageFields
Page fields to process.
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 AutoPageRecognitionAndProcessing2Uri()
{
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, false))
{
ocrEngine.Startup(null, null, null, LEAD_VARS.OcrLEADRuntimeDir);
BarcodeEngine barcodeEngine = new BarcodeEngine();
AutoFormsEngine autoEngine = new AutoFormsEngine(repository, ocrEngine, barcodeEngine);
autoEngine.MinimumConfidenceRecognized = autoEngine.GetMinimumRecognizedConfidencePage();
Uri url = new Uri(Path.Combine(LEAD_VARS.ImagesDir, @"Forms\Images\FCC-107_OCR_Filled.tif"));
AutoFormsRecognizePageResult result = autoEngine.RecognizePage(url, 1, new AutoFormsEnginePageRecognitionOptions());
if (result == null)
return;
FormPages formFields = result.MasterForm.ReadFields();
FormPage pageFields = formFields.GetPage(result.PageNumber);
FormRecognitionAttributes attributes = result.MasterForm.ReadAttributes();
autoEngine.ProcessPage(url, 1, attributes, pageFields);
}
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\Users\Public\Documents\LEADTOOLS Images";
public const string OcrLEADRuntimeDir = @"C:\LEADTOOLS 20\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 AutoPageRecognitionAndProcessing2Uri()
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, False)
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 = autoEngine.GetMinimumRecognizedConfidencePage()
Dim url As Uri = New Uri(Path.Combine(LEAD_VARS.ImagesDir, "Forms\Images\FCC-107_OCR_Filled.tif"))
Dim result As AutoFormsRecognizePageResult = autoEngine.RecognizePage(url, 1, New AutoFormsEnginePageRecognitionOptions())
If result Is Nothing Then
Return
End If
Dim formFields As FormPages = result.MasterForm.ReadFields()
Dim pageFields As FormPage = formFields.GetPage(result.PageNumber)
Dim attributes As FormRecognitionAttributes = result.MasterForm.ReadAttributes()
autoEngine.ProcessPage(url, 1, attributes, pageFields)
End Using
End Sub
Public NotInheritable Class LEAD_VARS
Public Const ImagesDir As String = "C:\Users\Public\Documents\LEADTOOLS Images"
Public Const OcrLEADRuntimeDir As String = "C:\LEADTOOLS 20\Bin\Common\OcrLEADRuntime"
End Class
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Supported Platforms
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Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document