Eighth International Conference on Document Analysis and Recognition (ICDAR'05) Discriminant Substrokes for Online Handwriting Recognition Seoul, Korea August 31-September 01 ISBN: 0-7695-2420-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.88
A discriminant-based framework for automatic recognition of online handwriting data is presented in this paper. We identify the substrokes that are more useful in discriminating between two online strokes. A similarity/dissimilarity score is computed based on the discriminatory potential of various parts of the stroke for the classification task. The discriminatory potential is then converted to the relative importance of the substroke. Experimental verification on online data such as numerals, characters supports our claims. We achieve an average reduction of 41% in the classification error rate on many test sets of similar character pairs.
Citation:
Karteek Alahari, Satya Lahari Putrevu, C. V. Jawahar, "Discriminant Substrokes for Online Handwriting Recognition," icdar, pp.499-505, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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