Dynamic-programming-based handwritten word recognition using the Choquet fuzzy integral as the match function

Paul D. Gader; Magdi A. Mohamed; James M. Keller

doi:10.1117/12.228053

1 January 1996 Dynamic-programming-based handwritten word recognition using the Choquet fuzzy integral as the match function

Paul D. Gader, Magdi A. Mohamed, James M. Keller

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Journal of Electronic Imaging, Vol. 5, Issue 1, (January 1996). https://doi.org/10.1117/12.228053

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.

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Paul D. Gader, Magdi A. Mohamed, and James M. Keller "Dynamic-programming-based handwritten word recognition using the Choquet fuzzy integral as the match function," Journal of Electronic Imaging 5(1), (1 January 1996). https://doi.org/10.1117/12.228053

Published: 1 January 1996

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