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USE OF JPEG ALGORITHM IN HANDWRITTEN DEVNAGRI NUMERAL RECOGNITION

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Author(s): Gajanan Birajdar | Mansi Subhedar

Journal: International Journal of Distributed and Parallel Systems
ISSN 2229-3957

Volume: 02;
Issue: 04;
Start page: 152;
Date: 2011;
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Keywords: Devnagri numerals | JPEG | offline Handwritten character recognition

ABSTRACT
Automatic recognition of handwritten Devnagri numerals is a difficult task in pattern recognition. It hasnumerous applications including those in postal sorting and bank cheque processing. In this paper, a fastand effective method is proposed for recognition of isolated handwritten Devnagri numerals based onJPEG image compression algorithm, which is less time consuming as compared to artificial neuralnetwork based recognition systems. In JPEG image compression, which has high compression ratio, aunique vector which helps to identify each character is generated. By using this unique vector, theproposed system has recognized the input numeral after measuring the Euclidean distance between thevector corresponding to the numeral and the vectors in the codebook as well as the length of vector. Thenthe shortest distance pointed to the corresponding letter is obtained. The result was considerably high interms of recognition rate.
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