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2008
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Discriminative HMM training with GA for handwritten word recognition

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Discriminative HMM training with GA for handwritten word recognition
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.
Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy
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