Offline grammar-based recognition of handwritten sentences

Matthias Zimmermann, Jean-Cédric Chappelier, Horst Bunke · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2006

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.

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