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Published in:
2010 | OriginalPaper | Chapter
Extraction of Features from Signature Image and Signature Verification Using Clustering Techniques
Authors : Samit Biswas, Debnath Bhattacharyya, Tai-hoon Kim, Samir Kumar Bandyopadhyay
Published in: Security-Enriched Urban Computing and Smart Grid
Publisher: Springer Berlin Heidelberg
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Humans are comfortable with pen and papers for authentication and authorization in legal transactions. In this case it is very much essential that a person’s Hand written signature to be identified uniquely. The development of efficient technique is to extract features from Handwritten Signature Image and verify the signature with higher accuracy. This paper presents a method for off line hand written signature verification with higher accuracy. In this paper we have introduced a procedure to extract features from Handwritten Signature Images. That computed feature is used for verification. Here we used a clustering technique for verification.