Abstract

In an off-line signature verification method based on mat file representation and a fuzzy similarity measure is proposed. In the feature extraction step, set of grey level co-occurrence matrix (GLCM) based features is computed from both the signature image and its under-sampled bitmap. Mat file is then created for each feature in every signature class. As a result, a signature model composed of a set of values is obtained for each individual’s handwritten signature class. A novel fuzzy similarity measure is future proposed to compute the similarities of samples.

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