A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures

Authors

  • Vithya.T Embedded System Technologies, Anna University, India
  • Parthiban S Embedded System Technologies, Anna University, India

Keywords:

Bimodal Biometric, Decision Level Fusion, Finger vein, Iris Recognition, GSM

Abstract

In this paper, a real-time embedded multimodal biometric recognition system for authentication on Automated teller machine is being developed. The system is implemented on an embedded platform and equipped with novel multimodal recognition algorithms, so this system is an intelligent security system; it is developed based on a teller machine concept. Wherein, the transaction is successful, If and only if the biometric used is matched and GSM technology is used.

References

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Published

2014-04-30

How to Cite

[1]
Vithya.T and Parthiban S, “A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures”, Int. J. Comp. Sci. Eng., vol. 2, no. 4, pp. 59–63, Apr. 2014.

Issue

Vol. 2 No. 4 (2014): IJCSE April Edition

Section

Research Article

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