A new chain-code quantization approach enabling high performance handwriting recognition based on multi-classifier schemes

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2003-January, Issue , 2003, Pages 834-838

  Hoque, S ^a   Sirlantzis, K ^a   Fairhurst, M C ^a  

^a UNIVERSITY OF KENT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHAINS; CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS);

BINARY REPRESENTATIONS; CHARACTER RECOGNITION SYSTEM; DIRECTIONAL DECOMPOSITION; HAND-WRITTEN CHARACTERS; HANDWRITING RECOGNITION; MULTIPLE CLASSIFIERS; QUANTIZATION APPROACH; RANDOM DECOMPOSITION;

CHARACTER RECOGNITION;

EID: 84945915849     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2003.1227779     Document Type: Conference Paper

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