HMM parameter estimation with genetic algorithm for handwritten word recognition

Authors:
Tapan K. Bhowmik;Swapan K. Parui;Manika Kar;Utpal Roy
Affiliations:
IBM India Pvt Ltd, Salt Lake, Kolkata, India;Indian Statistical Institute, Kolkata, India;Cognizant Technology Solutions, Salt Lake, Kolkata, India;Dept. of Computer and System Sciences, Visva-Bharati, Santiniketan, India
Venue:
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Year:
2007

Citing 6
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Abstract

This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a Hidden Markov Model (HMM). A stochastic search method, namely, Genetic Algorithm (GA) is used to train the HMM. The HMM is a left-right HMM. For feature extraction, the image boundary is traced both in the anticlockwise and clockwise directions and the significant changes in direction along the boundary are noted. Certain features defined on the basis of these changes are used in the proposed model.