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IOcrSettingManager Interface


Manages the underlying engine-specific settings of this IOcrEngine.


public interface IOcrSettingManager 
@interface LTOcrSettingManager : NSObject 
public class OcrSettingManager 
   interface class IOcrSettingManager abstract 
class IOcrSettingManager: 


Access the instance of the IOcrSettingManager used by an IOcrEngine through the IOcrEngine.SettingManager property.

IOcrSettingManager allows you to do the following:

Use the different methods of the IOcrSettingManager interface to get and set the engine-specific settings. Each setting has a unique name (a string value). Get all of the settings available to the current OCR engine through the GetSettingNames method. The GetSettingDescriptor method returns a description of the setting (its type, friendly name and value range). You can then use the various get and set methods to query and change the values of specific settings. For example, if the setting type is OcrSettingValueType.Integer, you can use the GetIntegerValue to get the current value of the setting and the SetIntegerValue to change its value. Refer to the example below for a complete demo.

This interface also contains methods to load and save the engine state to a .NET stream or an XML file on disk. The following table lists all the states saved:

Members Description
IOcrSettingManager (accessed through IOcrEngine.SettingManager) All the settings as obtained through IOcrSettingManager.GetSettingNames
IOcrLanguageManager (accessed through IOcrEngine.LanguageManager) The value of IOcrLanguageManager.GetEnabledLanguages
IOcrSpellCheckManager (accessed through IOcrEngine.SpellCheckManager) The values of IOcrSpellCheckManager.SpellCheckEngine and IOcrSpellCheckManager.SpellLanguage.
IOcrDocumentManager (accessed through IOcrEngine.DocumentManager) The values of IOcrDocumentManager.EngineFormat, IOcrDocumentManager.RejectionSymbol and IOcrDocumentManager.MissingSymbol.
IOcrZoneManager (accessed through IOcrEngine.ZoneManager) The values of IOcrZoneManager.OmrOptions.FrameDetectionMethod, IOcrZoneManager.OmrOptions.Sensitivity and the state characters of IOcrZoneManager.OmrOptions.GetStateRecognitionCharacter.

You must call the IOcrEngine.Startup method before you can use the IOcrEngine.SettingManager property.


The IOcrEngine.LanguageManager and IOcrEngine.SpellCheckManager state is also saved when the engine settings are saved. For more information, refer to IOcrSettingManager.Save.

For a list of supported engine-specific settings and their meanings, refer to OCR engine-specific Settings.



Recognition.Adaption.AdaptedDataFilePath (String)

Adapted data file path. Not used in this version of LEADTOOLS.

StringMaximumLength: -1

StringNullAllowed: True


Recognition.AutoRecognizeManager.DefaultDocumentOrientation (Enum)

Default orientation for the generated document if a page is blank or graphics only.

EnumIsFlags: False.

Value Name Description
0 None Do not change the orientation. Default value.
1 Portrait Change to portrait orientation (make the width less than height) if the page is blank or entirely graphics.
2 Landscape Change to landscape orientation (make the width greater than height) if the page is blank or entirely graphics.

Recognition.AutoRecognizeManager.FormatSpeedOptimized (Boolean)

Optimize the recognition speed based on the final document format.

true to optimize the recognition speed based on the format of the final document; otherwise, false. The default value is true. As an example, the OCR engine does not recognize font attributes such as italic or bold if the final document format is Text.

Recognition.AutoSecondPass (Boolean)

Perform an automatic second pass clean up on the internal black and white image when the first pass does not provide satisfactory results. The default value is true.


Recognition.CharacterFilter.DiscardNoiseLikeCharacters (Boolean)

Discard noise like characters. true to ignore recognized characters that have features similar to noise; otherwise, false. The default value is false.

Recognition.CharacterFilter.DiscardNoisyZones (Boolean)

Discard noisy zones. true to discard all the results in the zone if the engine determines that all the characters recognized are noise; otherwise, false. The default value is false.

Recognition.CharacterFilter.MinimumPixelHeight (Integer)

The minimum height of a recognized character, in pixels. The default value is 6.

Units: pixels

IntegerMinimumValue: 0

IntegerMaximumValue: 2147483647 (Int32.MaxValue)

Recognition.CharacterFilter.MinimumPixelSizeExcludeCharacters (String)

Characters to exclude from the minimum pixel width and height rule. The default value is ".". Can be null.

StringMaximumLength: -1

StringNullAllowed: True

Recognition.CharacterFilter.MinimumPixelWidth (Integer)

The minimum width of a recognized character, in pixels. The default value is 6.

Units: pixels

IntegerMinimumValue: 0

IntegerMaximumValue: 2147483647 (Int32.MaxValue)

Recognition.CharacterFilter.PostprocessMICR (Boolean)

Automatically post-process MICR results. true to post-process any MICR zones by discarding all of the characters, numbers and symbols that do not belong to the MICR character set as well as performing basic validity data checking; otherwise, false. The default value is true.

Recognition.DetectColors (Boolean)

Automatically detect foreground and background colors of each character. If this value is true, then the engine tries to automatically detect the colors of the zones when IOcrPage.AutoZone is called and sets the values in OcrZone.ForeColor and OcrZone.BackColor.

Recognition.DetectExactCharacterBounds (Boolean)

Detect the exact bounding rectangle for each recognized character. true to detect the exact bounding rectangle for each recognized character; otherwise, false. The default value is false.


Recognition.Fonts.DetectFontStyles (Enum)

Enable the detection of font style properties. These flags affect the final generated document if the format supports fonts (such as the PDF or DOCX formats). Values can be OR-ed together. The default value is Bold | Italic | Underline | SansSerif | Serif | Proportional | Superscript | Subscript | Strikeout.

EnumIsFlags: True

Value Name Description
0 None Do not detect any font styles.
1 Bold Detect bold font styles.
2 Italic Detect italic font styles.
4 Underline Detect underline font styles.
8 SansSerif Detect Sans-Serif font styles (for example, Arial).
16 Serif Detect Serif font styles (for example, Times New Roman).
32 Proportional Detect proportional font styles (for example, Times New Roman or Arial) or fixed space font styles (for example, Courier New).
64 Superscript Detect super-script font styles.
128 Subscript Detect subscript font styles.

Recognition.Fonts.EnableCapsCaps (Boolean)

Enable Caps/Caps font recognition enhancements. true to enable Caps/Caps (CamelCase) font recognition enhancements; otherwise, false. The default value is false.

Recognition.Fonts.EnableNormalization (Boolean)

Disable to detect multiple font spacing (monospace versus proportional) when the image contains lines with a mixture of font spacings which is atypical.
Default value is True.

Recognition.Fonts.RecognizeFontAttributes (Boolean)

Recognize font attributes. true to enable font attributes recognition; otherwise, false. The default value is true.

Recognition.ImageType (Enum)

Enable the detection of image type.

EnumIsFlags: False

Value Name
0 None
1 ID-Driver license

Recognition.MaximumPageConventionalMemorySize (Integer)

Maximum memory size in KB of a page before switching to disk or tiled.

The appropriate setting depends on the system hardware configuration and the number of cores and application types being used. Change this setting if out-of-memory errors occur when running your application.

The IOcrEngine supports loading RasterImage objects directly from disk files, streams or URLs, (as for example, the various methods in the IOcrPageCollection and IOcrAutoRecognizeManager classes do). The loaded RasterImage holds the original image and is useful only when saving graphics zones or image-over-text overlays. If the image is large, and one created using conventional memory, then a large amount of physical memory is used to hold this image in memory and is not available for other purposes such as auto-zoning or recognition. This is more noticeable in multi-threaded applications where loading several large images in conventional memory can cause out-of-memory errors, even when performing operations that normally would succeed.

Use MaximumPageConventionalMemorySize to set the maximum size of the image in memory allowed before the IOcrEngine automatically switches to use the disk memory feature of RasterImage and (RasterMemoryFlags). The MaximumPageConventionalMemorySize is in KBytes and its default value depends on the processors being used. For x86 processors, the value is 42187 (42MBytes). For x64 processors, the value is calculated dynamically (1.7GBytes for each 8 cores, not exceeding the physical memory size). These values allow a typical OCR image (8.5 by 11 inches at 300 DPI and 32-bits per pixel) to be loaded in conventional memory. Anything significantly larger than that gets switched to use disk memory mode.

Different factors affect the performance of a particular setting and must be weighed and they include the following factors:

Units: KB

IntegerMinimumValue: 0

IntegerMaximumValue: 2147483647 (Int32.MaxValue)

Recognition.ModifyProcessingImage (Boolean)

Modify processing image. true to modify the processing image after recognition; otherwise, False. It is best to set the value of this setting to true if IOcrPage.Recognize is called only once per page. IOcrAutoRecognizeManager temporarily sets the value of this setting to true while performing a recognition job.


Recognition.Preprocess.BlackWhiteImageConversionMethod (Enum)

Black and white image conversion method. This setting influences how a non-black and white image, stored in the Engine, is converted to black and white. The default value is Default.

EnumIsFlags: False

Value Name Description
0 Default This affects grayscale or 24-bit color images. A black and white image is created in the Engine's memory. Image binarization applies an automatic adaptive thresholding algorithm.
1 Dynamic This affects grayscale or 24-bit color images. A black and white image is created in the Engine's memory. Each pixel is compared to a dynamically-calculated threshold. If the pixel intensity is higher it is set to white; otherwise, it is set to black.
2 User This affects grayscale or 24-bit color images. A black and white image is created in the Engine's memory. Thresholding with a user-defined threshold value is performed. Set the threshold with Recognition.Preprocess.BlackWhiteImageConversionThreshold).
3 Sauvola Sauvola binarization to a bitmap useful for improving recognition results.

Recognition.Preprocess.BlackWhiteImageConversionThreshold (Integer)

Black and white image conversion threshold. The threshold to use when converting colored images to bitonal (black and white) in preparation for recognizing the text on the image. Conversion separates the text intensities from the background intensities. The default value is 185.

This is the equivalent of calling IntensityDetectCommand on the image with InColor equal to the detected foreground (text) color, OutColor equal to the detected background color, Channel set to Master, HighThreshold equal to 255, and LowThreshold equal to the value of this setting.

IntegerMinimumValue: 0

IntegerMaximumValue: 255

Recognition.Preprocess.BlackWhiteSauvolaKFactor (Double)

Black and white Sauvola K factor.

Units: DoubleMinimumValue: 0

DoubleMaximumValue: 1

Recognition.Preprocess.BlackWhiteSauvolaRFactor (Integer)

Black and white Sauvola R factor.

IntegerMinimumValue: 1

IntegerMaximumValue: 4096

Recognition.Preprocess.BlackWhiteSauvolaWindowSize (Integer)

Black and white Sauvola window size.

IntegerMinimumValue: 2

IntegerMaximumValue: 4096

Recognition.Preprocess.DownSampleLargeImage (Boolean)

Down sample large image. true to down-sample large images prior to recognition; otherwise, false. The default value is false.

Set the value to true to prevent the OCR engine from creating processing images (the image used for recognition) larger than 4000 by 4000 pixels (in order to preserve memory and resources). This value is ignored if the value of the MobileImagePreprocess setting is true.

Recognition.Preprocess.MinimumAutoRotateConfidence (Integer)

Minimum confidence percentage for auto-rotate. Used by the IOcrPage.AutoPreprocess method to determine the minimum confidence percentage threshold to use when orienting pages. The default value is 26.

IntegerMinimumValue: 0

IntegerMaximumValue: 100

Recognition.Preprocess.MobileImagePreprocess (Boolean)

Mobile image preprocess. true to enable mobile image processing mode; otherwise, false. The default value is false.

Recognition.Preprocess.ModifyOriginalImageOptions (Enum)

Modify original image during preprocessing options. Specifies how the original image is modified when calling the IOcrPage.AutoPreprocess method. Values can be OR-ed together. The default value is Deskew | Rotate | Invert.

EnumIsFlags: True

Value Name Description
0 None Never modify the original image.
1 Deskew Apply any angle found while deskewing (IOcrPage.GetDeskewAngle) the original image.
2 Rotate Apply the angle (always a right angle) found while performing auto-orientation (IOcrPage.GetRotateAngle) on the original image (auto-orient).
4 Invert Apply the inversion value (IOcrPage.IsInverted) on the original image.

Recognition.Preprocess.RemoveInvertedTextRegionsFromProcessImage (Boolean)

Recognize inverted text regions. true to automatically detect and recognize inverted regions, otherwise; false. The default value is false.

Set this value to true to support OCRing an image that contains both black/white and white/black areas.

Recognition.Preprocess.UseZoningEngine (Boolean)

Use the zoning engine to exclude graphics areas from preprocessing calculations. true to use the zoning engine to exclude graphics areas from preprocessing calculations such as deskew and auto-rotate; otherwise, false. The default value is true.

Recognition.RecognitionModuleTradeoff (Enum)

Recognition module tradeoff between speed and accuracy. The default value is Balanced.

EnumIsFlags: False

Value Name Description
0 Accurate Accuracy is more important than speed.
1 Balanced Accuracy and speed are equally important.
2 Fast Speed is more important than accuracy.

Recognition.RecognitionModuleType (Enum)

Specifies the recognition module to use to process machine-printed, handwritten text, or a combination of both.

EnumIsFlags: False

Value Name Description
0 OCR The engine considers all input images to have machine-printed text only.
1 ICR The engine considers all input images to have handwritten text only.
2 Mixed The engine considers all input images to have a mix of machine-printed text and handwritten text. The engine detects automatically handwritten zones and machine printed zones, even if these zones have not been pre-specified by users.

Recognition.ShareOriginalImage (Boolean)

Share original image. true to share the image reference used to create the OCR page; otherwise, false. The default value is false.

Setting this value to true affects the IOcrPageCollection.AddPage(RasterImage, OcrProgressCallback) and IOcrPageCollection.InsertPage(int, RasterImage, OcrProgressCallback) methods. When the value is false, these methods make a copy of the image and use the copy to create the page. Calling IOcrPage.GetRasterImage(OcrPageType.Original) on such a page returns a null reference. Otherwise, if the value is true, these methods use the same image reference to create the page.

To return the original image reference, call IOcrPage.GetRasterImage(OcrPageType.Original) on the copy page.

IOcrAutoRecognizeManager temporarily changes the value of this setting to true while performing a recognition job.


Recognition.Threading.MaximumThreads (Integer)

Maximum number of threads to use in recognition. Gets or sets the maximum number of threads to use in recognition. The LEADTOOLS OCR Module - LEAD Engine provides support for recognizing document zones in separate threads. This can improve the performance of the IOcrPage.Recognize method. The default value is 0, which instructs LEADTOOLS to use the system thread pool. The number of threads is calculated automatically. Setting the value to a number > 1 also turns multi-threading on, but the number of threads specified is ignored and calculated automatically instead.

To turn multi-threading off inside the IOcrPage.Recognize method and use a single thread, set the value to 1.

IntegerMinimumValue: 0

IntegerMaximumValue: 2147483647


Recognition.Words.DiscardLowConfidenceWords (Boolean)

Discard words with low confidence. true to discard words with a low rating; otherwise, false. The default value is true.

Recognition.Words.DiscardLowConfidenceZones (Boolean)

Discard zones with low confidence. true to discard zones with low ratings; otherwise, false. The default value is false.

This setting controls the output. If true, the engine checks all of the words/characters in a zone. If it determines that the overall confidence and type of characters constitute noise, then the recognition results for the entire zone is discarded.

Recognition.Words.LowWordConfidence (Integer)

Low word confidence. Discard any word with a confidence value less than this value. The default value is 50. This setting only takes effect when DiscardLowConfidenceWords is set to true.

IntegerMinimumValue: 0

IntegerMaximumValue: 100


Recognition.Zoning.CheckboxDetectionSensitivity (Enum)

Check box detection sensitivity.

EnumIsFlags: False

Value Name Description
0 High High detection sensitivity
1 Low Low detection sensitivity

Recognition.Zoning.CropZoneImage (Boolean)

Crop image to zone size. true to crop each zone from the original image and recognize it by itself; otherwise, false. The default value is true.

Setting this value to true can improve the performance of the IOcrPage.Recognize method.

Recognition.Zoning.DetectVerticalZones (Enum)

Vertical zone detection mode. This works with Latin and Asian languages.

EnumIsFlags: False

Value Name Description
0 Auto Automatic - currently this means on for Asian languages such as Japanese as off for Latin languages such as English.
1 On On - currently this means on for both Asian languages such as Japanese and Latin languages such as English.
2 Off Off - currently this means off for both Asian languages such as Japanese and Latin languages such as English.

Recognition.Zoning.DetectZoneRotationAngle (Boolean)

Detect zone rotation angle. true to try to detect a separate rotation angle for each zone; otherwise, false. The default value is false.

Setting this value to false can increase the speed of the recognition engine.

Recognition.Zoning.DisableMultiThreading (Boolean)

Disable multi-threading while zoning. true to disable multi-threading when performing auto-zoning; otherwise, multi-threading is enabled. The default value is false.

Multi-threading enhances the performance of the auto-zoning algorithm. However, it can be undesirable if the OCR engine is hosted on a server.

Recognition.Zoning.EnableDoubleZoning (Boolean)

Enable double zoning. true to perform a second, internal auto-zoning procedure on each text zone in order to generate more homogeneous zones for recognition; otherwise, false. The default value is true.

Setting this value can improve the performance of the IOcrPage.Recognize method.

Recognition.Zoning.Options (Enum)

Auto zoning options. These flags affect the way the IOcrPage.AutoZone method works. Values can be OR-ed together. The default value is Detect Text | Detect Graphics | Detect Table | Detect Accurate Zones | Table Cells As Zones | Use Advanced Table Detection | Use Text Extractor | Favor Graphics.

EnumIsFlags: True

Value Name Description
0 None No options. The engine will not detect any zones and hence no recognition is performed.
1 Detect Text Search for text zones inside the page image.
2 Detect Graphics Search for graphic zones inside the page image.
4 Detect Table Search for table zones inside the page image.
8 Allow Overlap Allow zones to overlap; otherwise, detected zones will not overlap.
16 Detect Accurate Zones Detect smaller and more accurate zones (like page paragraphs). Unless this flag is set the auto-zone algorithm tries to detect the largest possible zones.
32 Recognize One Cell Table Even if a table has only one cell, detect it as a table. Must be OR-ed with Detect Table
64 Table Cells as Zones Treat each cell detected inside a table as its own zone. If this option is set, the zone types are OcrZoneType.Text instead of OcrZoneType.Table. Must be OR-ed with Detect Table.
128 Use Advanced Table Detection Use advanced table detection to obtain the most accurate results when the document contains tables. This option recursively and aggressively parses the document to locate the positions of tables and cells. This option generates the most accurate representation of the original document and its tables in the final output. This option must be OR-ed with Detect Table.
256 Use Text Extractor Improves text zone recognition. Extracts text by separating graphics and tables from text areas.
512 Detect Checkbox Search for checkbox zones inside the page image.
1024 Favor Graphics Favor converting a blob with very low accuracy into a contiguous graphics instead of text. This option is on by default and results in better visual representation of the output documents. The OCR engine will set this option off when performing Auto Recognize with Text or PDF with Image over Text options set. In this mode, the engine assumes that the result should contain all text parsed regardless of quality.
2048 Detect Micr Detects Micr
4096 Detect Cmc7 Detects Cmc7
8192 Detect OcrA Detects OcrA


SpellChecker.EnableCache (Boolean)

Enable caching of incorrectly spelled words. true to enable caching of frequent words, otherwise; false. The default value is true.

SpellChecker.MaximumDictionaries (Integer)

Maximum number of spell checkers dictionaries to use. Gets or sets the maximum number of spell checkers to use at the same time. The default value is the number of available dictionaries found in the system.

IntegerMinimumValue: 0

IntegerMaximumValue: 255


This example will start the LEADTOOLS OCR Module - LEAD Engine. Shows the values of all the settings and change a few of them.

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.Ocr; 
using Leadtools.Document.Writer; 
public void OcrSettingManagerExample() 
   // Create an instance of the engine 
   using (IOcrEngine ocrEngine = OcrEngineManager.CreateEngine(OcrEngineType.LEAD)) 
      // Start the engine using default parameters 
      ocrEngine.Startup(null, null, null, LEAD_VARS.OcrLEADRuntimeDir); 
      IOcrSettingManager settingManager = ocrEngine.SettingManager; 
      // Dump all the settings supported by this engine to a text file on disk 
      // Image file to OCR 
      string tifFileName = Path.Combine(LEAD_VARS.ImagesDir, "Ocr1.tif"); 
      // File formats to save 
      DocumentFormat[] formats = { DocumentFormat.Text, DocumentFormat.Pdf }; 
      foreach (DocumentFormat format in formats) 
         // Generate the output file name 
         string outFileName = Path.ChangeExtension(tifFileName, DocumentWriter.GetFormatFileExtension(format)); 
         Console.WriteLine("Format: {0}\nOutput file: {1}", format, outFileName); 
         int detectFontStyles = 0; 
         bool recognizeFontAttributes = false; 
         if (format == DocumentFormat.Text) 
            // This is 'text' format, we dont need to recognize fonts attributes such as bold and italic 
            // This will make the recognition process faster 
            Console.WriteLine("Turning off font attributes"); 
            // Save the old settings 
            detectFontStyles = settingManager.GetEnumValue("Recognition.Fonts.DetectFontStyles"); 
            recognizeFontAttributes = settingManager.GetBooleanValue("Recognition.Fonts.RecognizeFontAttributes"); 
            // Turn them off now 
            settingManager.SetEnumValue("Recognition.Fonts.DetectFontStyles", "None"); 
            settingManager.SetBooleanValue("Recognition.Fonts.RecognizeFontAttributes", false); 
         // Show the settings we are using 
         Console.WriteLine("Recognizing using these font attributes settings:"); 
         Console.WriteLine("Recognition.Fonts.DetectFontStyles: {0}", settingManager.GetEnumValueAsString("Recognition.Fonts.DetectFontStyles")); 
         Console.WriteLine("Recognition.Fonts.RecognizeFontAttributes: {0}", settingManager.GetBooleanValue("Recognition.Fonts.RecognizeFontAttributes")); 
         // Recognize and save the file to the output format 
         using (IOcrDocument ocrDocument = ocrEngine.DocumentManager.CreateDocument()) 
            // Add a page to the document 
            IOcrPage ocrPage = ocrDocument.Pages.AddPage(tifFileName, null); 
            // Recognize the page 
            // Note, Recognize can be called without calling AutoZone or manually adding zones. The engine will 
            // check and automatically auto-zones the page 
            // Save the document we have as PDF 
            ocrDocument.Save(outFileName, format, null); 
         // Re-set the original settings 
         if (format == DocumentFormat.Text) 
            Console.WriteLine("Resetting original settings"); 
            settingManager.SetEnumValue("Recognition.Fonts.DetectFontStyles", detectFontStyles); 
            settingManager.SetBooleanValue("Recognition.Fonts.RecognizeFontAttributes", recognizeFontAttributes); 
      // Shutdown the engine 
      // Note: calling Dispose will also automatically shutdown the engine if it has been started 
private static void DumpAllSettings(IOcrSettingManager settingManager) 
   // Write all the settings into a disk file 
   string settingsFileName = Path.Combine(LEAD_VARS.ImagesDir, "Settings.txt"); 
   using (StreamWriter writer = File.CreateText(settingsFileName)) 
      string[] settingNames = settingManager.GetSettingNames(); 
      foreach (string settingName in settingNames) 
         IOcrSettingDescriptor sd = settingManager.GetSettingDescriptor(settingName); 
         writer.WriteLine("  Name:           {0}", sd.Name); 
         writer.WriteLine("  ValueType:      {0}", sd.ValueType); 
         writer.WriteLine("  FriendlyName:   {0}", sd.FriendlyName); 
         switch (sd.ValueType) 
            case OcrSettingValueType.BeginCategory: 
            case OcrSettingValueType.Integer: 
               writer.WriteLine("    Units: {0}", sd.Units); 
               writer.WriteLine("    IntegerMinimumValue: {0}", sd.IntegerMinimumValue); 
               writer.WriteLine("    IntegerMaximumValue: {0}", sd.IntegerMaximumValue); 
            case OcrSettingValueType.Enum: 
               writer.WriteLine("    EnumIsFlags: {0}", sd.EnumIsFlags); 
               writer.WriteLine("    EnumMemberFriendlyNames"); 
                  int[] values = sd.GetEnumMemberValues(); 
                  string[] names = sd.GetEnumMemberFriendlyNames(); 
                  for (int i = 0; i < values.Length; i++) 
                     writer.WriteLine("      {0} : {1}", names[i], values[i]); 
            case OcrSettingValueType.Double: 
               writer.WriteLine("    Units: {0}", sd.Units); 
               writer.WriteLine("    DoubleMinimumValue: {0}", sd.DoubleMinimumValue); 
               writer.WriteLine("    DoubleMaximumValue: {0}", sd.DoubleMaximumValue); 
            case OcrSettingValueType.Boolean: 
            case OcrSettingValueType.Character: 
            case OcrSettingValueType.String: 
               writer.WriteLine("    StringMaximumLength:   {0}", sd.StringMaximumLength); 
               writer.WriteLine("    StringNullAllowed:     {0}", sd.StringNullAllowed); 
            case OcrSettingValueType.Rectangle: 
            case OcrSettingValueType.EndCategory: 
static class LEAD_VARS 
   public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images"; 
   public const string OcrLEADRuntimeDir = @"C:\LEADTOOLS23\Bin\Common\OcrLEADRuntime"; 

Help Version 23.0.2024.4.19
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Leadtools.Ocr Assembly

Products | Support | Contact Us | Intellectual Property Notices
© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.