Signature Verification Using Neural Network

In this paper, the authors present new improved off-line signature verification system using global and texture features of signatures. This scheme is based on the technique that applies preprocessing on the signature to get a binary image and then calculate the global and texture features points from it and maintain a feature vector. All calculations are done on the basis of these feature points. The feature vector obtained from the global and texture features is used to compare with the feature vector of incoming testing signature. Based on the values obtained, the network will decide the appropriateness of the signature.

Provided by: Engg Journals Publications Topic: Security Date Added: Sep 2012 Format: PDF

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