Learning and adaptation for improving handwritten character recognizers

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

Volumn , Issue , 2009, Pages 86-90

  Tewari, Naveen Chandra ^a   Namboodiri, Anoop M ^a  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CLASS BOUNDARY; DATA SETS; DECISION BOUNDARY; DIGITIZING TABLET; FEATURE SPACE; HAND-WRITTEN CHARACTERS; HANDWRITING RECOGNITION; LEARNING AND ADAPTATION; MAXIMAL MARGIN; MULTIPLE KERNELS; MULTIPLE SOURCE; RECOGNITION ACCURACY; SUPPORT VECTOR; WRITING STYLE;

CHARACTER RECOGNITION; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS;

LEARNING ALGORITHMS;

EID: 71249108537     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.212     Document Type: Conference Paper

References (13)

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