Offline Grammar-Based Recognition of Handwritten Sentences

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.

• Type: Journal
• Year: 2006
• Where: PAMI
• Authors: Matthias Zimmermann, Jean-Cédric Chappelier, Horst Bunke
• Keywords: Hidden Markov Model, PAMI 2006, Probabilistic Bottom-up Chart, Stochastic Context-free Grammars