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A promising off-line signature verification system based on grid based feature extraction is designed and evaluated. This work begins with a brief overview of the various stages which comprise a signature verification system. Next, the Young's lattice grid feature extraction concept is described in order to represent and model the primitive occurrences of handwritten signature. Two verification approaches have been applied based on the minimum distance classifier and the binary support vectordoi:10.25103/jestr.096.28 fatcat:hcb32k7cxjfwnjyac6ffzkr2mq