Offline grammar-based recognition of handwritten sentences


Autoria(s): Zimmermann, Matthias; Chappelier, Jean-Cédric; Bunke, Horst
Data(s)

2006

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