Language independent optical character recognition for hand written text
Ali, A.; Ahmad, M.; Rafiq, N.; Akber, J.; Ahmad, U.; Akmal, S.
Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International
Volume , Issue , 24-26 Dec. 2004 Page(s): 79 - 84
Digital Object Identifier 10.1109/INMIC.2004.1492850
Summary: This paper describes a novel technique for optical character recognition of handwritten text using the basic geometrical strokes contained in the alphabets of a language. It is observed that all the characters of a language can be represented as a set of connected basic geometrical strokes; thus if we break a ligature, even if the ligature contains more than one character, as in the case of cursive languages, the technique can determine/recognize the characters contained in the ligature. The recognition of characters is font independent: however it is also possible to recognize the typed characters of the standard fonts by employing this technique. Hence font based character recognition is a special case of the proposed technique. The technique was implemented by developing a C#.NET application called LIOCR (language independent optical character reader). The results obtained after applying LIOCR to 25 samples of handwritten text have also been reported.
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