This paper presents an innovative approach f o r the verification of a signature using fuzzy modeling. For feature extraction, a signature is enclosed in a box.. Taking the left side bottom corner of the box as the origin, angles of all pixels are calculated and then distribution of angles are generated using fixed class intervals. By considering these distributions as jiizzy sets, a Takagi-Sugeno model is constructed by defining the output of the signature to be a fixed number. This model is then used f o r twin-purpose of verification and f o r g e q detection. The results are demonstrated on several signature samples.
In this paper. an attempt is made to develop off-line recognition strategies for the isolated. handwritten English characters (A to Z. a to z). The preprocessing of characters comprises bounding of characters for translation invariance and normalization of characters for size invariance. The variability in a character introduced by the rotation and deformation is the main concern of this paper. This variability has been taken into account by devising a fuzzy logic based approach using normalized angle features.
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