A Bayesian-based probabilistic model for unconstrained handwritten offline Chinese text line recognition

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2010, Pages 3664-3668

  Li, Nanxi ^a   Jin, Lianwen ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Chinese text line recognition; Confidence measurement; Handwritten Chinese character recognition; Invalid character; Verification

Indexed keywords

BAYESIAN; CHINESE TEXT; CONFIDENCE MEASUREMENT; DATA SETS; HANDWRITTEN CHINESE CHARACTER RECOGNITION; INVALID CHARACTER; LANGUAGE MODEL; N-GRAM LANGUAGE MODELS; OFFLINE; PRE-SEGMENTATION; PROBABILISTIC MODELS; RECOGNITION ACCURACY; RELIABLE RECOGNITION; TEXT LINES;

BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; CYBERNETICS; STATISTICAL TESTS;

CHARACTER RECOGNITION;

EID: 78751542906     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2010.5641873     Document Type: Conference Paper

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