Character recognition: Qualitative reasoning and neural networks

Authors:
Ervin Y. Rodin;Yuanlan Wu;S.Massoud Amin
Affiliations:
Center for Optimization and Semantic Control Department of Systems Science and Mathematics Washington University, St. Louis, MO 63130-4899, USA U.S.A.;Center for Optimization and Semantic Control Department of Systems Science and Mathematics Washington University, St. Louis, MO 63130-4899, USA U.S.A.;Center for Optimization and Semantic Control Department of Systems Science and Mathematics Washington University, St. Louis, MO 63130-4899, USA U.S.A.
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
1992

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Abstract

Traditional character recognition methods construct a grid and represent a character as a combination of grid dots. By using a qualitative representation method [1,2], we introduce here a new approach to representing English letters. Using properties of the qualitative representation method, we can uniquely represent each English letter regardless of the size and position of each stroke on the board. Our success of implementation by neural networks shows the feasibility of the method, and our tolerance tests show its robustness.