Performance Comparison of Devanagari Handwritten Numerals Recognition
Mahesh Jangid Kartar Singh, Renu Dhir, Rajneesh Rani · International Journal of Computer Applications · 2011
In this paper an automatic recognition system for isolated Handwritten Devanagari Numerals is proposed and compared the recognition rate with different classifier.We presented a feature extraction technique based on recursive subdivision of the character image so that the resulting sub-images at each iteration have balanced numbers of foreground pixels as possible.Database, provided by Indian Statistical Institute, Kolkata, have 22547 grey scale images written by 1049 persons and obtained 98.98% highest accuracy with SVM classifier.Results are compared with KNN and Quadratic classifier.