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A character recognizer for Turkish language
Date
2003-01-01
Author
Korkmaz, SU
Akinci, GKY
Atalay, Mehmet Volkan
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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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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.