A Comparative Study using Wavelet and SVM for Devanagri Characters Recognition

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Anil Kumar N. Holambe
Dr.Ravinder C. Thool,Sushil Kumar N.Hola Ganesh K. Pakle


This paper presents a wavelet-based approach for recognizing handwritten and printed Devnagari characters. In this paper we have
used wavelet for feature extraction of the character. We have developed six handwritten data feature sets and six printed data feature set ,each
dataset is divided in four part for our experimentation. We have also used wavelet kernels and regular kernels in SVM classification. Each SVM
kernel is applied on total 12 x4=48 feature datasets.


Keywords: Wavelet; MAT; Complex Wavelet; Autocorrelation.


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