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Multimodal Biometrics: An Enhanced Authentication Technique

by Mohamed Basheer K. P., Haulath K.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 16
Year of Publication: 2018
Authors: Mohamed Basheer K. P., Haulath K.
10.5120/ijca2018917872

Mohamed Basheer K. P., Haulath K. . Multimodal Biometrics: An Enhanced Authentication Technique. International Journal of Computer Applications. 181, 16 ( Sep 2018), 49-53. DOI=10.5120/ijca2018917872

@article{ 10.5120/ijca2018917872,
author = { Mohamed Basheer K. P., Haulath K. },
title = { Multimodal Biometrics: An Enhanced Authentication Technique },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2018 },
volume = { 181 },
number = { 16 },
month = { Sep },
year = { 2018 },
issn = { 0975-8887 },
pages = { 49-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number16/29910-2018917872/ },
doi = { 10.5120/ijca2018917872 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:10:02.268207+05:30
%A Mohamed Basheer K. P.
%A Haulath K.
%T Multimodal Biometrics: An Enhanced Authentication Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 16
%P 49-53
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometrics refers to identify an individual, based on human’ physiological or behavioral characteristics. Many unimodal biometric systems exist, but often has limitations due to sensitivity to noise, data quality, spoofy attack etc. Multimodal biometric system evaluates some of the problem by providing multiple biometric features of same identity. This system helps to achieve an increased performance that may not be possible by using single biometric indicator.

References
  1. N Gopal, Dr R Selvkumar-Multimodal Biometric System –An Overview International Journal of Engineering Trends and Technology (IJETT) – Volume 33 Number 7- March 2016.
  2. Kalyani CH, Various Biometric Identification Techniques: A Review. journal of Biometrics and Biostatistics.
  3. Ratha.N et al. “Adaptive flow orientation based feature extraction in fingerprint images Pattern Recognition”, Vol.11, Issue 28 (1995), pp. 1657–1672.
  4. Mini Singh Ahuja, Sumit Chabbra A survey of Multimodal Biometrics. International journal of Computer Science and its Applications.
  5. A. Ross and A. K. Jain, ̄Multimodal biometrics: an overview,” Proc.European Signal Processing Conference, pp. 1221–1224, Vienna, Austria, Sept 2004.
  6. Arun Ross and Anil K. Jain Multimodal Biometrics: An Overview
  7. T.Sabhanayagam , Dr. V. Prasanna Venkatesan and Dr. K. Senthamaraikannan. A Comprehensive Survey on Various Biometric Systems. International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 5 (2018) pp. 2276-2297 © Research India Publications.
  8. J.Wayman , A Jain, D. Maltoni, D.Maio, Biometric systems , Technology ,Degign Performance evaluation, Springer 2005.
  9. A.K.Jain, A.Ross and S.Prabhakar, “An introduction to biometric recognition “, IEEE Trans. On Circuits and Systems for Video Technology, vol 14, pp. 4-20, Jan 2004. . Bounkong, S., Toch, B., Saad, D. and Lowe, D. (2003) ICA for watermarking digital images, Journal of Machine Learning Research, Pp. 1471-1498.
  10. A.Ross , K.Nandakumar, and A.K.Jain, Handbook of Multibiometrics. Springer, 2006.
  11. A.Ross and A.K. Jain, “Information fusion in biometrics”, Pattern Recognition Letters, vol. 24, pp. 2115-2125, Sep 2003.
  12. M. Indovina, U. Uludag, R.Snelick, A. Mink and A.Jain, “Multimodal Biometric Authentication methods: A COTS Approach”.
  13. R.M.Bolle, S.Pankati and N.K.Ratha, “Evaluation Techniques for Biometrics-Based Authentication Systems (FRR), “Proc. 15th Int’1 Conf.Pattern Recognition, vol 2, pp. 831-837, Sept.2000.
  14. Teddy Ko,”Multimodal Biometric Identification for large user population using fringer print, face and iris recognition “, Proceedings of the 34th Applied Imagery and Pattern Recognition Workshop (AIPR05), 2005.
  15. N.Ratha, J.Connell, and R.Bolle,”Enhancing security and Privacy in biometrics-based Authentication Systems”, IBM Systems Journal, vol-40, no-3, pp614-634, 2001.
  16. R.W.Frischholz and U.Dieckmann,”Bioid: A Multimodal Biometric Identification System,” IEEE Computer, vol-33,no-2, pp. 64-68, 2000.
  17. Monrose, F.,Rubin,A.D.,”Keystroke Dyanamics as a Biometric for Authentication” Future Generation computer systems, vol-16, no-4(2000) 351-359.
  18. A.K.Jain and A.Ross, “Learning User-Specific Parameters in a Multibiometric System”,Proc. IEEE Int’1 conf. Image Processing , PP. 57-60, Sept. 2002.
  19. A.K.Jain, K.Nandakumar, A.Ross, “Score normalization in multimodal biometric systems”, Pattern Recognition, 2005.
  20. Vetrro and N.Memon, “Biometric system security”, tutorial presented at second International Conference on Biometrics, Seoul, South Korea, August 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Traditional method Biometrics Unimodal system Multimodal biometrics Biometrics traits

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