Offline grammar-based recognition of handwritten sentences
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BORIS DOI
Publisher DOI
PubMed ID
16640266
Description
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.
Date of Publication
2006
Publication Type
Article
Keyword(s)
Optical character recognition
•
handwriting analysis
•
natural language parsing and understanding
Language(s)
en
Contributor(s)
Zimmermann, Matthias | |
Chappelier, Jean-Cédric |
Additional Credits
Series
IEEE transactions on mobile computing
Publisher
IEEE Computer Society
ISSN
1536-1233
Access(Rights)
open.access