An Efficient Human Authentication Using Multibiometric Approach for High Accuracy in Recognition Rate

Authors

  • U. Supriya  Assistant Professor, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India
  • G. Divya Sri  UG Scholar, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India
  • M. Kalaiselvi  UG Scholar, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India
  • K.R.Karthekk  UG Scholar, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India

Keywords:

Unimodal, Multimodal, Recognition, Spoofing, FAR, FRR, GAR.

Abstract

In the development of recent technologies, a biometrics system has been the important affordable and more reliable system. A Biometrics identification system refers to the automatic recognition of individual person based on their characteristics. Basically biometrics system has two broad areas namely unimodal and multimodal biometric system. In Unimodal system it has some disadvantage due to its lack of non- universality and unacceptable error rate. To overcome the Unimodal challenging issues, Multimodal is the better system for its two or three level of identification and verification. In this paper multimodal biometrics system characteristics are studied with various biometrics traits. The proposed system uses a multibiometric approach for authenticating a person. The multibiometric system comprises of multimodal (iris, fingerprint and face) and multi algorithm (Iterative Parallel Thinning Algorithm, Fuzzy Pattern Based with Laplacianfaces, Optimized Daugman Algorithm) biometrics whose recognition rate will be calculated separately using GAR, FAR and FRR scores. Finally the matching scores of both the methods will be fused to find the final recognition rate which will prove that multibiometric system provides high accuracy in recognizing a person and highly secured against spoofing attacks.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-10-30

Issue

Volume 2, Issue 5, September-October-2016

Section

Research Articles

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How to Cite

[1]
U. Supriya, G. Divya Sri, M. Kalaiselvi, K.R.Karthekk, " An Efficient Human Authentication Using Multibiometric Approach for High Accuracy in Recognition Rate, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.364-368, September-October-2016.