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Features Extraction and Verification of Signature Image using Clustering Technique

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Proposed Algorithm
 3. Experimental Result
 4. Discussion and Conclusion
 References

저자정보

  • Samit Biswas Department of Computer Science and Engineering, Bengal Institute of Technology,
  • Tai-hoon Kim Department of Multimedia, Hannam University, Daejeon, Korea.
  • Debnath Bhattacharyya Department of Multimedia, Hannam University, Daejeon, Korea.

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