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ICDAR
2011
IEEE

Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words

10 years 6 months ago
Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words
—Research in the field of recognizing unlimited vocabulary, online handwritten Indic words is still in its infancy. Most of the focus so far has been in the area of isolated character recognition. In the context of lexicon-free recognition of words, one of the primary issues to be addressed is that of segmentation. As a preliminary attempt, this paper proposes a novel script-independent, lexicon-free method for segmenting online handwritten words to their constituent symbols. Feedback strategies, inspired from neuroscience studies, are proposed for improving the segmentation. The segmentation strategy has been tested on an exhaustive set of 10000 Tamil words collected from a large number of writers. The results show that better segmentation improves the overall recognition performance of the handwriting system. Keywords-Online Tamil symbol recognition ; Dominant overlap Segmentation (DOS) ;Feedback segmentation (FS); Stroke Group; Support Vector Machine (SVM)
Suresh Sundaram, A. G. Ramakrishnan
Added 24 Dec 2011
Updated 24 Dec 2011
Type Journal
Year 2011
Where ICDAR
Authors Suresh Sundaram, A. G. Ramakrishnan
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