A character recognizer for Turkish language

Date

2003-01-01

Author

Korkmaz, SU
Akinci, GKY
Atalay, Mehmet Volkan

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This paper presents particularly a contextual post processing subsystem for a Turkish machine printed character recognition system. The contextual post processing subsystem is based on positional binary 3-gram statistics for Turkish language, an error corrector parser and a lexicon, which contains root words and the inflected forms of the root words. Error corrector parser is used for correcting CR alternatives using Turkish Morphology.

Subject Keywords

Character recognition, Chromium, Statistics, Natural languages, Error correction, Image segmentation, Image converters, Error analysis, Morphology, Text recognition

URI

https://hdl.handle.net/11511/40250

DOI

https://doi.org/10.1109/icdar.2003.1227855

Conference Name

7th International Conference on Document Analysis and Recognition (ICDAR 2003)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. Korkmaz, G. Akinci, and M. V. Atalay, “A character recognizer for Turkish language,” presented at the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), EDINBURGH, SCOTLAND, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40250.