7 March 1996 Choquet fuzzy integral in handwritten word recognition
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
12 PAGES


SHARE
Back to Top