95 articles 

inria-00104427, version 1

2D Model of Hidden Markov Mesh Based on Complete Lattices

Bong-Kee Sin () 1, Sung-Un Kim () 2

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

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.

  • 1:  Computer Multimedia Division
  • Pukyong National University
  • 2:  Electronics and Telecommunication division
  • Pukyong National University
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : 2D HMM – Image model – Shape distortion
  • Comment : http://www.suvisoft.com
 
  • inria-00104427, version 1
  • oai:hal.inria.fr:inria-00104427
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  • Submitted on: Friday, 6 October 2006 15:20:56
  • Updated on: Friday, 6 October 2006 15:24:13