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13 June 1995 Applications of fuzzy integrals to handwriting recognition
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Abstract
Two applications of fuzzy integrals to handwritten word recognition are discribed. Fuzzy integrals are used in a dynamic programming based, offline handwritten word recognition algorithm. This algorithm finds optimal matches between word images and strings in lexicons. Fuzzy integrals are used to compute the match scores. Fuzzy integrals are also used in a hidden Markov model based, offline handwritten word recognition algorithm. In this case, fuzzy measures and integrals are used as alternatives to probabilistic measures and ordinary integrals. Results are presented on standard data sets consisting of real images collected form United States Postal Service mail stream.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul D. Gader, Magdi A. Mohamed, and James M. Keller "Applications of fuzzy integrals to handwriting recognition", Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); doi: 10.1117/12.211792; https://doi.org/10.1117/12.211792
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