The task of veryfing human signatures as a pattern recognition problem is considered in this paper. We propose two-step vectorization of the binary handwritten signature images with the application of the cubic Bezier curves. We introduce a new contour segments extraction algorithm to generate discrete sets of signature contour points. A multi-layer neural network trained by the real-coded genetic algorithm was proposed as the signature patterns classifier. Some simple numerical tests results are also reported.
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