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. © 2010 Springer-Verlag.
CITATION STYLE
Biswas, S., Bhattacharyya, D., Kim, T. H., & Bandyopadhyay, S. K. (2010). Extraction of features from signature image and signature verification using clustering techniques. In Communications in Computer and Information Science (Vol. 78 CCIS, pp. 493–503). https://doi.org/10.1007/978-3-642-16444-6_62
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