In this paper, we compare the experimental results for Tamil online handwritten character recognition using HMM and Statistical Dynamic Time Warping (SDTW) as classiﬁers. HMM was used for a 156-class problem. Different feature sets and values for the HMM states & mixtures were tried and the best combination was found to be 16 states & 14 mixtures, giving an accuracy of 85%.
Added on March 22, 2011
Product Type : Research Paper
License Type : Freeware
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Author : Shashikiran K,Kolli Sai Prasad,Rituraj Kunwar,A.G.Ramakrishan