Offline grammar-based recognition of handwritten sentences

IEEE Transactions on Pattern Analysis and Machine Intelligence
Matthias ZimmermannHorst Bunke

Abstract

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.

References

Jun 27, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Alessandro VinciarelliHorst Bunke

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