A Character Recognizer for Turkish Language

Authors:
Sait Ulas Korkmaz;G. Kirçiçegi Y. Akinci;Volkan Atalay
Affiliations:
-;-;-
Venue:
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Year:
2003

Citing 3
Cited 0

Optical Character Recognition for Cursive Handwriting

IEEE Transactions on Pattern Analysis and Machine Intelligence
Font Recognition and Contextual Processing for More Accurate Text Recognition

ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Multifont Classification Using Typographical Attributes

ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents particularly a contextual postprocessing subsystem for a Turkish machine printedcharacter recognition system. The contextual postprocessing subsystem is based on positional binary 3-gram statistics for Turkish language, an error correctorparser and a lexicon, which contains root words and theinflected forms of the root words. Error corrector parseris used for correcting CR alternatives using TurkishMorphology.