A Comparative Study using Wavelet and SVM for Devanagri Characters Recognition

A Comparative Study using Wavelet and SVM for Devanagri Characters Recognition

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...

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Veröffentlicht in:International journal of advanced research in computer science 2010-11, Vol.1 (4)
Hauptverfasser: Holambe, Anil Kumar N, Thool, Ravinder C, Holambe, Sushil Kumar N, Pakle, Ganesh K
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Decomposition
Engineering schools
Information technology
Wavelet transforms
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Zusammenfassung: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.
ISSN:0976-5697