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Offline grammar-based recognition of handwritten sentences

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3 Author(s)
Zimmermann, M. ; Int. Comput. Sci. Inst., Berkeley, CA, USA ; Chappelier, J.-C. ; Bunke, H.

This paper proposes a sequential coupling of a hidden Markov model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using stochastic context-free grammars (SCFG) extracted from a text corpus. Based on extensive experiments, we conclude that syntax analysis helps to improve recognition rates significantly.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:28 ,  Issue: 5 )

Date of Publication:

May 2006

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