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In this paper we are exploring a novel approach to extracting the features from a hand-written offline signature. The experiments are carried out on a user created data base. Which includes 50 classes and each class consists of 15 random forgeries and 5 skilled forgeries; total count of samples in the data base is 1000. Here we are considering and extracting the geometrical distance metric features,...
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