Title :
Discriminative HMM training with GA for handwritten word recognition
Author :
Bhowmik, Tapan K. ; Parui, Swapan K. ; Roy, Utpal
Author_Institution :
CVPR Unit, Indian Stat. Inst., Kolkata
Abstract :
This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a left-right hidden Markov model (HMM). A stochastic search method, namely, genetic algorithm (GA) is used to train the HMM. A new shape based direction encoding features has been developed and introduced in our recognition system. Both non-discriminative and discriminative training procedures have been applied iteratively to optimize the parameters of HMM.
Keywords :
genetic algorithms; handwriting recognition; handwritten character recognition; hidden Markov models; natural language processing; discriminative HMM training; genetic algorithm; handwritten Bangla word recognition; offline handwriting recognition system; shape based direction encoding features; stochastic search method; Encoding; Feature extraction; Genetic algorithms; Handwriting recognition; Hidden Markov models; Maximum likelihood estimation; Probability distribution; Search methods; Shape; Stochastic processes;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761830
