HMM-based online handwritten gurmukhi character recognition

Authors:
Anuj Sharma;Rajesh Kumar;R. K. Sharma
Affiliations:
Department of Mathematics, Panjab University, Chandigarh, India;School of Mathematics and Computer Applications, Thapar University, Patiala, India;School of Mathematics and Computer Applications, Thapar University, Patiala, India
Venue:
Machine Graphics & Vision International Journal
Year:
2010

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Abstract

This paper presents a hidden Markov model-based online handwritten character recognition for Gurmukhi script. We discuss a procedure to develop a hidden Markov model database in order to recognize Gurmukhi characters. A test with 60 handwritten samples, where each sample includes 41 Gurmukhi characters, shows a 91.95% recognition rate, and an average recognition speed of 0.112 seconds per stroke. The hidden Markov model database has been developed in XML using 5330 Gurmukhi characters. This work shall be useful to implement a hidden Markov model in online handwriting recognition and its software development.