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
|Publisher:||IEEE Computer Society|
|Date Deposited:||04 Oct 2013 14:45|
|Last Modified:||12 Dec 2014 09:53|
|Web of Science ID:||000235885700012|
|Uncontrolled Keywords:||Optical character recognition, handwriting analysis, natural language parsing and understanding|
|URI:||http://boris.unibe.ch/id/eprint/18491 (FactScience: 637)|