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Signature verification models based on personal model have been reported by many researchers in past but the method proposed here is a forensic document examination approach using computational methods, unlike other models which require a considerable number of genuine signatures of the same writer to correctly train the model. This paper proposes a forensic signature verification approach making a robust verification system even when few samples per writer are available. The efficiency of the proposed method is based on results of 150 writers with 10 signatures of each writer.

Computational Method for Forensic Verification of offline Signatures