Use of Jpeg Algorithm in Handwritten Devnagri Numeral Recognition

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