Offline Grammar-Based Recognition of Handwritten Sentences

  • Authors:
  • Matthias Zimmermann;Jean-Cedric Chappelier;Horst Bunke

  • Affiliations:
  • -;-;IEEE

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2006

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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.