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ICDAR
2005
IEEE

Discriminant Substrokes for Online Handwriting Recognition

9 years 5 months ago
Discriminant Substrokes for Online Handwriting Recognition
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  ¢¡¤£ in the classification error rate on many test sets of similar character pairs.
Karteek Alahari, Satya Lahari Putrevu, C. V. Jawah
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Karteek Alahari, Satya Lahari Putrevu, C. V. Jawahar
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