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Issue No.05 - May (2006 vol.28)
pp: 818-821
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.
Optical character recognition, handwriting analysis, natural language parsing and understanding.
Matthias Zimmermann, Jean-C?dric Chappelier, Horst Bunke, "Offline Grammar-Based Recognition of Handwritten Sentences", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.28, no. 5, pp. 818-821, May 2006, doi:10.1109/TPAMI.2006.103
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