Zimmermann, Matthias; Chappelier, Jean-Cédric; Bunke, Horst (2006). Offline grammar-based recognition of handwritten sentences. IEEE transactions on mobile computing, 28(5), pp. 818-821. Los Alamitos, Calif.: IEEE Computer Society 10.1109/TPAMI.2006.103
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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.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) |
UniBE Contributor: |
Bunke, Horst |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics |
ISSN: |
1536-1233 |
Publisher: |
IEEE Computer Society |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:45 |
Last Modified: |
05 Dec 2022 14:13 |
Publisher DOI: |
10.1109/TPAMI.2006.103 |
PubMed ID: |
16640266 |
Web of Science ID: |
000235885700012 |
Uncontrolled Keywords: |
Optical character recognition, handwriting analysis, natural language parsing and understanding |
BORIS DOI: |
10.7892/boris.18491 |
URI: |
https://boris.unibe.ch/id/eprint/18491 (FactScience: 637) |
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