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Proceedings Paper

Choquet fuzzy integral in handwritten word recognition
Author(s): Paul D. Gader; Magdi A. Mohamed
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Paper 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.

Paper Details

Date Published: 7 March 1996
PDF: 12 pages
Proc. SPIE 2660, Document Recognition III, (7 March 1996); doi: 10.1117/12.234721
Show Author Affiliations
Paul D. Gader, Univ. of Missouri/Columbia (United States)
Magdi A. Mohamed, Univ. of Missouri/Columbia (United States)


Published in SPIE Proceedings Vol. 2660:
Document Recognition III
Luc M. Vincent; Jonathan J. Hull, Editor(s)

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