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Journal of Electronic Imaging

Dynamic-programming-based handwritten word recognition using the Choquet fuzzy integral as the match function
Author(s): Paul D. Gader; Magdi A. Mohamed; James M. Keller
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Paper Abstract

The Choquet fuzzy integral is applied to handwritten word recognition. A handwritten word recognition system is described. The word recognition system assigns a recognition confidence value to each string in a lexicon of candidate strings. The system uses a lexicon-driven approach that integrates segmentation and recognition via dynamic programming matching. The dynamic programming matcher finds a segmentation of the word image for each string in the lexicon. The traditional match score between a segmentation and a string is an average. In this paper, fuzzy integrals are used instead of an average. Experimental results demonstrate the utility of this approach. A surprising result is obtained that indicates a simple choice of fuzzy integral works better than a more complex choice.

Paper Details

Date Published: 1 January 1996
PDF: 10 pages
J. Electron. Imaging. 5(1) doi: 10.1117/12.228053
Published in: Journal of Electronic Imaging Volume 5, Issue 1
Show Author Affiliations
Paul D. Gader, Univ. of Missouri/Columbia (United States)
Magdi A. Mohamed, Univ. of Missouri/Columbia (United States)
James M. Keller, Univ. of Missouri/Columbia (United States)


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