Optimizing binary feature vector similarity measure using genetic algorithm and handwritten character recognition

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

Volumn 2003-January, Issue , 2003, Pages 662-665

  Cha, Sung Hyuk ^a   Tappert, Charles C ^b  

^a PACE UNIVERSITY   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

Genetic algorithm; Handwriting recognition; Nearest neighbor; Similarity measure

Indexed keywords

ALGORITHMS; BINS; CHARACTER RECOGNITION; GENETIC ALGORITHMS; HAMMING DISTANCE; OPTICAL CHARACTER RECOGNITION; OPTIMIZATION;

BINARY FEATURE VECTOR; DISTANCE METRICS; HAND WRITTEN CHARACTER RECOGNITION; HANDWRITING RECOGNITION; NEAREST NEIGHBORS; OPTIMIZATION TECHNIQUES; SIMILARITY MEASURE; WEIGHTED HAMMING DISTANCES;

PATTERN RECOGNITION;

EID: 84945959624     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2003.1227745     Document Type: Conference Paper

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