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