ImageGear Professional DLL v18 for Windows
PLUS2W and PLUS3W Omnifont Recognition Modules
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ImageGear Professional v18 > User Guide > Appendices/General Reference > Recognition Component Specifications > Specifications for the Recognition Modules > PLUS2W and PLUS3W Omnifont Recognition Modules

Glossary Item Box

Module name:

PLUS2W and PLUS3W

Module identifier:

IG_REC_RM_OMNIFONT_PLUS2W and IG_REC_RM_OMNIFONT_PLUS3W

Filling methods supported:

IG_REC_FM_OMNIFONT

Filters supported:

IG_REC_FILTER_ALL, IG_REC_FILTER_DIGIT and IG_REC_FILTER_ALPHA

Trade-off supported:

IG_REC_TO_FAST, IG_REC_TO_BALANCED, IG_REC_TO_ACCURATE

Knowledge base file:

RECOGN.BCT, RECOGN24.BCT

Training supported:

yes

Both PLUS2W and PLUS3W require the presence of FRX, MTX, and MOR recognition modules.

Application Areas

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.

Range of Characters

This module supports the same set of characters as the OMNIFONT_MOR module.

Accuracy Issues

The PLUS2W and PLUS3W modules use voting technology to provide improved recognition results. The PLUS2W and PLUS3W modules use the results from one or more of FRX, MOR, and MTX modules according to the trade-off. With either of these two voting modules, the accuracy is considerably better, but the recognition may need significantly more time than any single module.

Suspicious Marking

With these modules, the suspicious character and word marking feature is different from that used in MOR, MTX, or FRX. These modules do not mark characters as suspicious if all the voting modules provided the same recognition result, even if they were suspiciously recognized in any of them. Consequently, there are likely to be fewer words marked as non-dictionary.

Character Attributes

The omnifont recognition module can detect and transmit character attributes: bold, italic, or underlined text (or any combination of them). It can also detect and transmit character size, and can classify font types into three broad categories: serif, sans serif, and monospaced.

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