2D Model of Hidden Markov Mesh Based on Complete Lattices

Abstract : The new model proposed in this paper is the hidden Markov mesh model or simply the 2D HMM with the causality of top-down and left-right direction. With the addition of the causality constraint, two efficient algorithms for the evaluation of a model and the maximum likelihood estimation of model parameters have been developed which are based on the forward-backward algorithm. It is a highly natural extension of the 1D HMM and more intuitive than other 2D models. The proposed method will provide a useful way of modeling spatially distorted image patterns such as offline handwritten characters.
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Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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Soumis le : vendredi 6 octobre 2006 - 15:20:56
Dernière modification le : vendredi 6 octobre 2006 - 15:24:13
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  • HAL Id : inria-00104427, version 1

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Bong-Kee Sin, Sung-Un Kim. 2D Model of Hidden Markov Mesh Based on Complete Lattices. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00104427〉

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