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Online Signature Verification is one of the most feasible biometric authentication techniques and is being widely researched upon. In this paper, some of the popular approaches towards Online Signature Verification are reviewed, and an abstraction of the general process involved in these approaches has been proposed. The most critical area in this process has identified to be that of feature selection...
So far, Automatic Signature Verification (ASV) approaches using a threshold-based decision have depended on one feature set for distance measure and a threshold on this distance measure for verification. The best performance that can be reached in this case is the one obtained by using the best feature set (bfs). In this paper, we introduce a new decision making approach for ASV that uses Multi-Sets...
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