DocumentCode :
1957838
Title :
Comparative study of Devanagari handwritten and printed character & numerals recognition using Nearest-Neighbor classifiers
Author :
Holambe, Anilkumar N. ; Holambe, Sushilkumar N. ; Thool, Ravinder C.
Author_Institution :
Dept. of Inf. Technol., Coll. Of Eng., Osmanabad, India
Volume :
1
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
426
Lastpage :
430
Abstract :
In this paper we are using Devanagari script OCR for recognition. The handwritten data set is created by us and for printed characters we have used ISM font. Here we are using gradient and curvature based feature extraction method. We have compared Nearest Neighbor, K-Nearest Neighbor, Euclidian Distance-based K-NN, Cosine Similarity -based K-NN, Condensed Nearest Neighbor, Reduced Nearest neighbor, Farthest like neighbor and Nearest unlike Neighbor.
Keywords :
feature extraction; handwritten character recognition; image classification; Devanagari handwritten recognition; Devanagari numerals recognition; Devanagari printed character; Devanagari script OCR; ISM font; curvature based feature extraction method; gradient based feature extraction method; nearest-neighbor classifiers; Argon; Artificial neural networks; Pixel; Devanagari; Nearest Neighbor; curvature; gradient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5565024
Filename :
5565024
Link To Document :
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