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Automatic recognition module
Specifies that the Engine will try to automatically select the most suitable recognition module for the zone. This is determined just before recognition, according to the zone's filling method and, if necessary, other settings, most typically the Character Set.
MTX omnifont recognition module
This recognition module recognizes machine printed text; i.e. from printed publications, laser or ink-jet printers and electric typewriters. Output from mechanical typewriters in good condition may also be acceptable. It should also be used for Letter or Near Letter Quality output from dot-matrix printers, and can also be used for Draft Quality.
Only images with the following resolution ranges are supported: 90-110, 160-240, 280-320, 400, 600.
This module does not process images larger than 6600 pixels in either width or height, that is it can safely handle A3 size (11.69" x 16.54") both portrait and landscape images with 300 dpi resolution. At larger resolution the supported image size is smaller.
The maximum number of zones defined on an image that this module can handle is 64.
MOR multi-lingual omnifont recognition module
This module recognizes machine printed text; i.e. from printed publications, laser or ink-jet printers and electric typewriters. Output from mechanical typewriters in good condition may also be acceptable. It should also be used for Letter or Near Letter Quality (NLQ, LQ) output from dot-matrix printers. There are two ways of modifying incoming images to make them more suitable for this omnifont recognition module:
Standard mode Fax output. (200 x 100 dpi). This switch doubles the pixels in the image’s vertical direction. Faxes sent in Fine Mode (200 x 200 dpi) are preferable. However, if faxes are sent in Fine Mode, then the Standard mode Fax Output should not be used.
Draft 24-pin dot-matrix output. Use the FILL_DRAFTDOT24 filling method to have the character contours smoothed. Again, NLQ or LQ quality output can usually be better recognized without using FILL_DRAFTDOT24.
This module can safely handle A3 size (11.69" x 16.54") both portrait and landscape images with 300 dpi resolution.
The maximum number of zones defined on an image that this module can handle is 500.
DOT Matrix (DOT 9-pin draft dot-matrix recognition module)
This module is designed for ONLY draft-quality 9-pin dot-matrix texts. For NLQ or LQ texts, the RasterDocumentRecognizeModule.OmniFontPlus2w, RasterDocumentRecognizeModule.OmniFontPlus3w, RasterDocumentRecognizeModule.MtextOmniFont or RasterDocumentRecognizeModule.MultiLingualOmniFont modules are likely to give better results.
OMR optical mark recognition module
LEADTOOLS OMR (Optical Mark Recognition) Module extends the functionality of LEADTOOLS SDKs by providing properties, methods, and events for easily incorporating fast, automated, and accurate optical mark recognition into your application. Optical Mark Recognition is used in surveys, polls, academic exams and official applications, to recognize the bubbles that the applicant fills in to indicate their selections. Supported marks include tick marks, X's, lines, checkmarks, and scribbles. Supported shapes (or frames) include boxes, circles and ellipses. For more information, refer to Using OMR in LEADTOOLS .NET OCR.
HNR hand-printed numeral recognition module
This recognition module can be used for recognition of hand-printed numerals and four additional signs. If further hand-printed characters are to be recognized, the use of the RasterDocumentRecognizeModule.RerPrinted recognition module is recommended.
RER hand-printed recognition module
This is a third-party recognition module from reRecognition GmbH, Germany. The Engine contains its recognition engine version 4.0i.
MAT matrix matching recognition module
This module is designed to read certain groups of fixed-font characters specially designed for OCR or imaging applications, in which no two characters have similar shapes. Each character group has its own filling method. Application areas are in banking, check or waybill handling, product distribution and document validation, where high accuracy can be vital. It also handles some non-fixed print styles.
FRX multi-lingual omnifont recognition module
This module recognizes machine printed text; i.e. from printed publications, laser or ink-jet printers and electric typewriters. Output from mechanical typewriters in good condition may also be acceptable. It should also be used for Letter or Near Letter Quality (NLQ, LQ) output from dot-matrix printers.
PLUS2W and PLUS3W omnifont recognition modules
This recognition module recognizes machine printed text; i.e. from printed publications, laser or ink-jet printers and electric typewriters. Output from mechanical typewriters in good condition may also be acceptable.
The PLUS2W and PLUS3W modules use voting technology to provide improved recognition results. The PLUS2W module combines the results from the MOR and MTX modules. The PLUS3W module combines the results from the MOR, MTX and FRX modules.
With any of these two voting modules, the accuracy is considerably better, but the recognition may need significantly more time than any single module.
Asian recognition module
Recognizes the Asian languages.