Module name: |
MTX |
Module identifier: |
OMNIFONT_MTX |
Filling methods supported: |
OMNIFONT, DRAFTDOT9, DRAFTDOT24, OCRA, OCRB |
Filters supported: |
ALL, DIGIT and ALPHA |
Trade-off supported: |
FAST, ACCURATE (BALANCED is equal to this) |
Knowledge base file: |
N / A |
The PLUS2W and PLUS3W recognition modules also require the presence of this module.
Recognition module language binaries are xi*.bin, as follows:
- For recognizing an English document, the filenames include the identifier ENG:
- xiengb.bin
- xiengc.bin
- xiengd.bin
- xienge.bin
- xiengf.bin (used unaltered for all languages)
- xiengl.bin (used unaltered for all languages)
- xiengp.bin
- xiengs.bin
- xiengz.bin
The files xiengf.bin and xiengl.bin are required, unaltered, for all languages. All other languages have language-specific equivalents of the remaining seven files. The identifier eng is changed as follows:
- French: frn
- Italian: itl
- German: grm
- Dutch: dut
- Spanish: spn
- Portuguese: prt
- Swedish: swd
- Norwegian: nrw
- Danish: dan
- Finnish: fin
- Portuguese (Brazilian): brz
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. It should also be used for Letter or Near Letter Quality output from dot-matrix printers, and can also be used for Draft Quality.
Range of Characters
This module supports the characters of the following languages:
Language |
English |
French |
Spanish |
Italian |
German |
Norwegian |
Portuguese |
Danish |
Dutch |
Finnish |
Swedish |
Brazilian |
Any of these languages can be combined.
Accuracy Issues
This module is influenced by the page-level trade-off setting, but reduces the three settings to two: FAST is respected, while BALANCED and ACCURATE are merged to one value.
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.