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Conference proceeding
Representing and characterizing handwritten mathematical symbols through succinct functional approximation
ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, v 2, pp 1198-1202
01 Jan 2007
Abstract
We model on-line ink traces jor a set of 219 symbols to "best fit" low-degree polynomial series. Using a collection of mathematical writing samples, we find that in many cases this provides a succinct way to model the stylus movements of actual test users. Furthermore, even without further similarity-processing, the polynomial coefficients from the writing samples form clusters which often contain the same character as written by different users. We find this style of characterization to be an attractive tool due to the suitability of the representation to computation and mathematical analysis.
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Details
- Title
- Representing and characterizing handwritten mathematical symbols through succinct functional approximation
- Creators
- Bruce W. Char - Drexel UniversityStephen M. Watt - Western University
- Contributors
- B Werner (Editor)
- Publication Details
- ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, v 2, pp 1198-1202
- Series
- Proceedings of the International Conference on Document Analysis and Recognition
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- NSERC Discovery Grants Program Microsoft Canada REC-0325872; CCF-0325685 / National Science Foundation; National Science Foundation (NSF) University of Western Ontario Drexel University
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000252162600240
- Scopus ID
- 2-s2.0-51149089514
- Other Identifier
- 991019170509504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Imaging Science & Photographic Technology