Online stroke modeling for handwriting recognition

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Online stroke modeling for handwriting recognition

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IBM Centre for Advanced Studies Conference archive
Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds table of contents

Ontario, Canada

SESSION: Web applications table of contents

Article No. 6

Year of Publication: 2008

Authors

Oleg Golubitsky	University of Western Ontario, London Ontario, Canada
Stephen M. Watt	University of Western Ontario, London Ontario, Canada

Sponsors

: IBM Toronto Software Lab
: IBM Centers for Advanced Studies (CAS)

Publisher

ACM New York, NY, USA

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ABSTRACT

The process of recognizing individual handwritten characters is one of classifying curves. Typically, handwriting recognition systems---even "online" systems---require entire characters be completed before recognition is attempted. This paper presents another approach for real-time recognition: certain characteristics of a curve can be computed as the curve is being written, and these characteristics are used to classify the character in constant time when the pen is lifted. We adapt an earlier approach of representing curves in a functional basis and reduce real-time stroke modelling to the Hausdorff moment problem.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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