Conference proceeding
Recognition of on-line handwritten patterns through shape metamorphosis
Proceedings of 13th International Conference on Pattern Recognition, Vol.3, pp.18-22 vol.3
1996
DOI: 10.1109/ICPR.1996.546787
Abstract
A novel method that recognizes on-line handwritten patterns (typical in pen-based computing applications) is proposed. The method combines the advantages of both global and local recognition methods, works in real-time, and avoids the use of statistical models that require extensive user data. It is also one of the first methods that handles collectively cursive words, and hand-drawn line figures. The proposed system achieves pattern recognition through the use of shape metamorphosis. It is based on the premise that if two shapes are similar they don't have to undergo a substantial metamorphosis process in order for one to assume the shape of the other. In other words, the "degree of morphing" becomes the primary matching criterion. The notion of the "degree of morphing" is quantified through an energy minimization approach. The potential of the method is highlighted by a set of experiments.
Details
- Title: Subtitle
- Recognition of on-line handwritten patterns through shape metamorphosis
- Creators
- I. Pavlidis - University of MinnesotaR. Singh - University of MinnesotaN.P. Papanikolopoulos
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of 13th International Conference on Pattern Recognition, Vol.3, pp.18-22 vol.3
- Publisher
- IEEE
- DOI
- 10.1109/ICPR.1996.546787
- ISSN
- 1051-4651
- eISSN
- 2831-7475
- Language
- English
- Date published
- 1996
- Academic Unit
- Computer Science
- Record Identifier
- 9984446555602771
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