Performance of the system will be evaluated by using parameters such as false acceptance rate (FAR), false rejection rate (FRR) and equal error rate (EER). As this system uses local and global features it will provide a very good performance for dynamic signature verification. Along with this we are considering the parametric or global features for classification of the test signature as genuine or forgery. The signatures are acquired by using pen tablet which captures function based or local features such as x and y co-ordinates as a function of time. In this paper, we describe a method for dynamic signature verification system. ![]() ![]() Department of Electronics Government College of Engineering, AurangabadĪbstract A signature is the most accepted method to declare someone's identity as the authenticated or not, although ones signature may change overtime and its not nearly as unique or difficult to imitate, such as fingerprints.
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