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논문검색

Statistical Analysis towards Image Recognition

초록

영어

In this paper we propose a new Handwritten Signature Authentication Scheme. The scheme consists of two main Rule Set Algorithms and one Authentication Algorithm. The Algorithms are based on extensive statistical analysis, Mean Variance and Theory of Estimation. This is an extension work of Handwritten Signature Identification. This scheme supports the application environment and we strongly believe that “User Authentication” could be a solid platform for future research and study.

목차

Abstract
 1. Introduction
 2. Earlier works
 3. Our work
  3.1. Authentication Rule Set Algorithm1 (ARSA1)
  3.2. Authentication Rule Set Algorithm2 (ARSA2)
  3.3. Handwritten Signature Authentication Algorithm (HSAA)
 4. Result
 5. Conclusion
 6. References

저자정보

  • Samir Kumar Bandyopadhyay Department of Computer Science and Engineering, University of Calcutta, Kolkata, India
  • Poulami Das Computer Science and Engineering Department, Heritage Institute of Technology, Kolkata, India
  • Debnath Bhattacharyya Computer Science and Engineering Department, Heritage Institute of Technology, Kolkata, India

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