Choquet fuzzy integral in handwritten word recognition

Paul D. Gader; Magdi A. Mohamed

doi:10.1117/12.234721

7 March 1996 Choquet fuzzy integral in handwritten word recognition

Paul D. Gader; Magdi A. Mohamed

Author Affiliations +

Proceedings Volume 2660, Document Recognition III; (1996) https://doi.org/10.1117/12.234721
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

The Choquet fuzzy integral provides a useful mechanism for evidence aggregation. It is a flexible method which can represent weighted averages, medians, order statistics, and many other information aggregation mechanisms. In this paper, two applications are described to handwritten word recognition: as a match function in a dynamic programming based classifier and as a method for fusing the results from multiple word recognition algorithms. In the first case, the results are compared with traditional methods. In the second case, the results are compared with neural network and Borda count approaches.

Citation Download Citation

Paul D. Gader, Magdi A. Mohamed, "Choquet fuzzy integral in handwritten word recognition", Proc. SPIE 2660, Document Recognition III, (7 March 1996); doi: 10.1117/12.234721; https://doi.org/10.1117/12.234721

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