Comparative Study of Feature Extraction Methods with K-NN for Off-Line Signature Verification

In this paper verification of signatures is reviewed and different feature extraction methods with K-NN are compared in order to obtain the optimized high performance signature verification for improving the identification rate. The task of signature verification is to judge whether an input signature is a genuine or a forged. This task is performed by comparing the collected signature samples with input signatures. In this purpose, three feature extraction methods are reviewed and used for the comparison of off-line signatures