Offline grammar-based recognition of handwritten sentences

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: 12 Dec 2014 09:53
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: http://boris.unibe.ch/id/eprint/18491 (FactScience: 637)

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