Offline grammar-based recognition of handwritten sentences
Data(s) |
2006
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Resumo |
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. |
Formato |
application/pdf |
Identificador |
http://boris.unibe.ch/18491/1/01608043.pdf 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 <http://dx.doi.org/10.1109/TPAMI.2006.103> doi:10.7892/boris.18491 info:doi:10.1109/TPAMI.2006.103 info:pmid:16640266 urn:issn:1536-1233 |
Idioma(s) |
eng |
Publicador |
IEEE Computer Society |
Relação |
http://boris.unibe.ch/18491/ |
Direitos |
info:eu-repo/semantics/openAccess |
Fonte |
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 <http://dx.doi.org/10.1109/TPAMI.2006.103> |
Palavras-Chave | #000 Computer science, knowledge & systems #510 Mathematics |
Tipo |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed |