Print keyword spotting with dynamically synthesized pseudo 2D HMMs

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We propose a new method of dynamically synthesizing Korean character image templates and then converting them into P2DHMMs in real-time. This method is more advantageous than whole character HMMs in memory requirement as well as training difficulty. (C) 2004 Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2004-07
Language
English
Article Type
Article
Keywords

HIDDEN MARKOV-MODELS; WORD RECOGNITION

Citation

PATTERN RECOGNITION LETTERS, v.25, no.9, pp.999 - 1011

ISSN
0167-8655
DOI
10.1016/j.patrec.2004.02.014
URI
http://hdl.handle.net/10203/10239
Appears in Collection
CS-Journal Papers(저널논문)
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