DocumentCode :
2722488
Title :
A Two Stage Classification Approach for Handwritten Devnagari Characters
Author :
Arora, Sandhya ; Bhatcharjee, Debotosh ; Nasipuri, Mita ; Malik, Latesh
Author_Institution :
Meghnad Saha Inst. of Tech., Kolkata
Volume :
2
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
399
Lastpage :
403
Abstract :
The paper presents a two stage classification approach for handwritten Devanagari characters. The first stage is using structural properties like shirorekha, spine in character and second stage exploits some intersection features of characters which are fed to a feedforward neural network. Simple histogram based method does not work for finding shirorekha, vertical bar (spine) in handwritten Devnagari characters. So we designed a differential distance based technique to find a near straight line for shirorekha and spine. This approach has been tested for 50000 samples and we got 89.12% success.
Keywords :
feedforward neural nets; handwritten character recognition; image classification; differential distance based technique; feedforward neural network; handwritten Devanagari characters; intersection features; shirorekha property; spine property; structural properties; two stage classification approach; Character recognition; Computational intelligence; Data preprocessing; Decision trees; Feedforward neural networks; Histograms; Image converters; Neural networks; Optical character recognition software; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
Type :
conf
DOI :
10.1109/ICCIMA.2007.254
Filename :
4426729
Link To Document :
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