An Overview of Recognition Modules

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 (Mtext) omnifont recognition module

This module can safely handle A3 size (11.69" x 16.54") portrait and landscape images with 300 dpi resolution. (At larger resolution the supported image size is smaller.) It recognizes machine printed text from printed publications, laser or ink-jet printers, and electric typewriters. Output from mechanical typewriters in good condition, and from draft-quality, letter-quality, or near-letter quality dot-matrix printers is also acceptable. 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.

The fastest of the selectable OCR engines
Supports up to 64 zones on one image
Supports Omnifont, Draftdot9 and Draftdot24 filling methods
Provides 2 page-level accuracy and speed trade off settings including a combined Accurate & Balanced value and Fast
Provides Checking Subsystem based correction

MOR (Multi-lingual Omnifont Recognition) module

This module can safely handle A3 size (11.69" x 16.54") portrait and landscape images with 300 dpi resolution. It recognizes machine printed text from printed publications, laser or ink-jet printers, and electric typewriters. Output from mechanical typewriters in good condition, and from letter- or near-letter quality (LQ, NLQ) dot-matrix printers is also acceptable.

Supports up to 500 zones on one image
Supports Omnifont, Draftdot24 and OCR-A filling methods
Provides 3 page-level accuracy and speed trade off settings including Accurate, Balanced and Fast
Provides Checking Subsystem based correction

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.

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 RECOGMODULE_OMNIFONT_PLUS2W, RECOGMODULE_OMNIFONT_PLUS3W, RECOGMODULE_MTEXT_OMNIFONT or RECOGMODULE_MULTI_LINGUAL_OMNIFONT modules are likely to give better results.

OMR optical mark recognition module

This recognition module is used for recognizing optical marks (checkmarks). Typical application areas are in questionnaires, ballot papers, educational tests and reporting or ordering sheets, where the documents to be processed are form-like and filled by respondents, usually by hand.

ICR-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 RECOGMODULE_RER_PRINTED recognition module is recommended.

ICR-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 (FireWorX) multi-lingual omnifont recognition module

This module recognizes machine printed text from printed publications, laser or ink-jet printers, and electric typewriters. Output from mechanical typewriters in good condition, and from letter- or near-letter quality (LQ, NLQ) dot-matrix printers is also acceptable.

Optimized for speed
Supports up to 2,500 zones on one image
Supports Omnifont filling methods

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.

$image\sqrblit.gif$ The PLUS2W and PLUS3W modules use voting technology to provide improved recognition results.

$image\sqrblit.gif$ The PLUS2W module combines the results from the MOR and MTX modules.

$image\sqrblit.gif$ 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.