Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition

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

Volumn 2003-January, Issue , 2003, Pages 666-670

  Morita, M ^a,b   Sabourin, R ^a,b,c   Bortolozzi, F ^c   Suen, C Y ^b  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^b Gina Cody School of Engineering and Computer Science   (Canada)

^c PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; GENETIC ALGORITHMS; VOCABULARY CONTROL;

HANDWRITTEN WORD RECOGNITION; MULTI-OBJECTIVE GENETIC ALGORITHM; NUMBER OF CLUSTERS; SYNTHETIC DATASETS; UNSUPERVISED FEATURE SELECTION; VALIDITY INDEX; WORD RECOGNITION;

CHARACTER RECOGNITION;

EID: 84945942894     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2003.1227746     Document Type: Conference Paper

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