Neural network-based diacritical marker recognition system and method
US5373566A · kind A · utility
164Cited by
3References
11Claims
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Key dates
| Filing date | Dec 24, 1992 |
| Grant date | Dec 13, 1994 |
| Priority date | — |
| Expiry date | Dec 24, 2012 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/248
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A diacritical marker recognition system and method recognizes diacritical markers in a character image based upon an analysis by a neural network of the portion of the character image most likely to contain a diacritical marker. Once the neural network determines that a diacritical marker most likely exists in the character image, the system determines by using heuristics whether a diacritical marker exists or whether the character image appears to contain a diacritical marker which is actually a regular character.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.