ANALYSIS THE EFFICIENCY & CROSSOVER ACCURACY BIOMETRIC TECHNOLOGY BY MATLAB

Authors

  • Smiti Research Scholar, Department of CSE, IIET (Jind),
  • Mrs. Nikita Assistant Professor, Department of CSE, IIET (Jind),

Keywords:

authentication, Biometrics, security, measurements, analyzing

Abstract

Biometrics is technology of identifying human subjects by means of measuring & analyzing more than one intrinsic behavioral / physical trait. Such human body characteristics consist of fingerprints, eye retinas, voice patterns, irises, facial patterns & hand measurements. Biometric systems consist of applications that makes use of biometric technologies & allow identification and verification / authentication automatically. In principle, processing of personal data that involves use of a biometric system is considered by privacy experts to be justified within a place that demands a high level of security & strict identification procedures.

References

Garcia,D.c. AND DE Queiroz, R.L. “Face-spoofing 2D-detection based on Moire-Patternm analysis.” Information Forensics & Security, International conference,IEEE,March 2015.

Fernandez, Ma, D. Christina, Kristina Joyce E. Gob, Aubrey Rose M. Leonidas, Ron Jason J. Ravara, Argel A. Bandala, & Elmer P. Dadios. "Simultaneous face detection & recognition using Viola-Jones Algorithm & Artificial Neural Networks for identity verification." IEEE, 2014.

Toufiq, Rizoan, & Md Islam. "Face recognition system using PCA-ANN technique with feature fusion method." In Electrical Engineering & Information & Communication Technology (ICEEICT), International Conference, IEEE, 2014.

Kautsar,S.A., Akbar,S, Azizah,F.N. “An application framework for evaluating methods in biometrics systems”, Data & software Engineering (ICODSE), International Conference,

November 2014,IEEE.

C. Saravanan, M. Surender, “Algorithm for Face Matching using Normalized Cross Correlation”, IJEAT, April 2013.

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Published

30-09-2016

How to Cite

Smiti, & Mrs. Nikita. (2016). ANALYSIS THE EFFICIENCY & CROSSOVER ACCURACY BIOMETRIC TECHNOLOGY BY MATLAB. International Journal for Research Publication and Seminar, 7(5), 73–78. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/876

Issue

Vol. 7 No. 5 (2016): July - Sept 2016

Section

Original Research Article

License

Copyright (c) 2016 International Journal for Research Publication and Seminar

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