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Handwritten word recognition using segmentation-free hidden Markov modeling and segmentation-based dynamic programming techniques

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2 Author(s)
M. Mohamed ; Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA ; P. Gader

A lexicon-based, handwritten word recognition system combining segmentation-free and segmentation-based techniques is described. The segmentation-free technique constructs a continuous density hidden Markov model for each lexicon string. The segmentation-based technique uses dynamic programming to match word images and strings. The combination module uses differences in classifier capabilities to achieve significantly better performance

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:18 ,  Issue: 5 )