Offline Cursive Handwriting Recognition System based on Hybrid Markov Model and Neural Networks
An offline cursive handwritten recognition system, based on hybrid of Neu Networks (NN) and Hidden markov Models (HMM), is decribed in this paper. Applying SegRec principle, the recognizer does not make hard decision at the character segmentation process. Instead, it delays the character segmantatio...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
2003
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/1925/1/article180.pdf http://eprints.utm.my/id/eprint/1925/ http://dx.doi.org/10.1109/CIRA.2003.1222166 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |