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Volumn 7874, Issue , 2011, Pages

Improving a HMM-based off-line handwriting recognition system using MME-PSO optimization

Author keywords

Arabic Handwriting Recognition; Hidden Markov Models; Particle Swarm Optimization

Indexed keywords

ARABIC HANDWRITING; BASIC SYSTEMS; BAUM-WELCH ALGORITHMS; DOCUMENT ANALYSIS; IFN/ENIT-DATABASE; ITS ARCHITECTURE; MULTI MODEL; NUMBER OF STATE; OFFLINE HANDWRITING RECOGNITION; PARTICIPATING SYSTEMS; STATE-OF-THE-ART SYSTEM; WORD RECOGNITION;

EID: 79955727091     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.876585     Document Type: Conference Paper
Times cited : (2)

References (27)
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    • Marti, U.1    Bunke, H.2
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    • Su, T.-H., Zhang, T.-W., Guan, D.-J., and Huang, H.-J., "Off-line recognition of realistic Chinese handwriting using segmentation-free strategy," Pattern Recognition 42, 167-182 (2009).
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  • 16
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  • 27
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    • Off-line handwritten word recognition using multi-stream hidden Markov models
    • Kessentini, Y., Paquet, T., and Hamadou, A. B., "Off-line handwritten word recognition using multi-stream hidden Markov models," Pattern Recognition Letters 31, 60-70 (2010).
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    • Kessentini, Y.1    Paquet, T.2    Hamadou, A.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.