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An In-Depth Analysis of the Biometric Authentication Classification

Ram Khanna

47-51

Vol: 10, Issue: 3, 2020

Receiving Date: 2020-07-04 Acceptance Date:

2020-08-07

Publication Date:

2020-09-15

Download PDF

http://doi.org/10.37648/ijrst.v10i03.006

Abstract

Out of the numerous confirmations conspires in this paper, we are attempting to focus on the exhibition and grouping of one of the validation strategies, biometric verification. Even though endeavours of the whole global biometric local area, the estimation of the precision of a biometric framework is far to be totally examined and, ultimately, normalized. The paper presents a basic examination of the analysis of accuracy and execution of a biometric framework.

Keywords: Biometric Authentication Classification; validation strategies; False Reject Rate (FRR); the False Accept Rate (FAR)

References

  1. Whalberg M., “Biometric Security – Integration of Biometric Devices in Solaris”, University of Umea, 2000
  2. Anil K. Jain, Sharath Pankanti, Salil Prabhakar, Lin Hong, and Arun Ross Michigan “Biometrics: A Grand Challenge”, State University, IBM T. J. Watson Research Center,
  3. Nazeer Unnisa Nazima, Shahana Tanveer, Abdul Majeed, “Secure Public Key Protocol for Ad-Hoc Wireless Networks”, International Journal of Computer Science and Network (IJCSN) Volume 1, Issue 6, Decembers 2012 www.ijcsn.org ISSN 2277-5420.
  4. Soutar, Biometric System Security White Paper, Bioscrypt [Online]. Available: http://www.bioscrypt.com
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