Offline grammar-based recognition of handwritten sentences
Related Experiment Video
Updated: Aug 14, 2026
05:54
Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
Published on: October 18, 2018
Matthias Zimmermann1, Jean-Cédric Chappelier, Horst Bunke
1International Computer Science Institute, Berkeley, CA 94704-1198, USA. zimmerma@icsi.berkeley.edu
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.
