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