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Two Level Authentication using Biometrics based on Earth Mover’s Distance (EMD)

by B.srinivas, U.neelima, P.satheesh, Koduganti Venkata Rao
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 13
Year of Publication: 2012
Authors: B.srinivas, U.neelima, P.satheesh, Koduganti Venkata Rao
10.5120/5755-7980

B.srinivas, U.neelima, P.satheesh, Koduganti Venkata Rao . Two Level Authentication using Biometrics based on Earth Mover’s Distance (EMD). International Journal of Computer Applications. 42, 13 ( March 2012), 29-33. DOI=10.5120/5755-7980

@article{ 10.5120/5755-7980,
author = { B.srinivas, U.neelima, P.satheesh, Koduganti Venkata Rao },
title = { Two Level Authentication using Biometrics based on Earth Mover’s Distance (EMD) },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 13 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number13/5755-7980/ },
doi = { 10.5120/5755-7980 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:14.812402+05:30
%A B.srinivas
%A U.neelima
%A P.satheesh
%A Koduganti Venkata Rao
%T Two Level Authentication using Biometrics based on Earth Mover’s Distance (EMD)
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 13
%P 29-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A biometric system which uses a single trait is unable to meet the required security levels. Authentication based on multi-biometrics is an emerging trend these days. This paper deals with the biometric authentication system which integrates face and voice biometrics. The system requests the user for an audio sample and an image of his face . The fusion of face biometric with the voice provides a much higher level of certainty a user's identity . We are using the Earth Mover's Distance(EMD), an efficient algorithm for face recognition and comparison of the audio and facial features[15, 16]. The proposed system outwits the single biometric systems by performing two-level authentication and improves system performance. Experimental results were found to have better impact on the system performance.

References
  1. Necmiye Ozayy, Yan Tong Frederick, W. Wheeler and Xiaoming Liu, Improving face recognition with a quality-based probabilistic framework, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 134 – 141, 2009.
  2. X. Li, S. Lin, S. Yan, and D. Xu, "Discriminant locally linear embedding with high order tensor data," IEEE Trans. Syst. , Man, Cybern. B,Cybern. , vol. 38, no. 2, pp. 342–352, Apr. 2008.
  3. Jain, A. K. , Nandakumar, K. , and Nagar, A. Biometric template security. EURASIP J. Adv. Signal Process 2008 (January 2008), 113:1-113:17.
  4. X. Tan, S. Chen, Z. Zhou, F. Zhang, Face recognition from a single image per person: a survey, Pattern Recognition 39 (2006) 1725–1745.
  5. Wilson, A. (2006). Robust Computer Vision-Based Detection of Pinching for One and Two-Handed Gesture Input. UIST '06. October 15-18, 2006, pp. 255-258.
  6. Sun, D. , Li, Q. , Liu, T. , He, B. , and Qiu, Z. A secure multimodal biometric veri_cation scheme. In Advances in Biometric Person Authentication, S. Z. Li, Z. Sun, T. Tan, S. Pankanti, G. Chollet, and D. Zhang, Eds. , vol. 3781 of Lecture Notes in Computer Science. Springer Berlin / Heidelberg, 2005, pp. 233-240.
  7. Y. T. Yu, M. F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
  8. H. Tan and C. Ngo. "Common Pattern Discovery Using Earth Movers Distance and Local Flow Maximization", IEEE International Conference on Computer Vision, II:1222-1229, 2005.
  9. A. K. Jain, "An introduction to biometric recognition," IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 4-20, January 2004.
  10. P. Indyk and N. Thaper, "Fast Image Retrieval via Embeddings", In 3rd Workshop on Statistical and computational Theories of Vision, Nice, France, 2003.
  11. K. K. Paliwal and B. S. Atal, 'Frequency related representation of speech,' in Proc. EUROSPEECH, p. p. 65-68 Sep. (2003).
  12. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  13. Lenman, S. , Bretzner, L. , Thuresson, B. (2002): Computer vision based hand gesture interfaces for human-computer interaction. Technical Report TRITA-NA-D0209, 2002, CID-172, Royal Institute of Technology, Sweden.
  14. Y. Rubner and C. Tomasi. Perceptual Metrics for Image Database Navigation. Kluwer Academic Publishers, Boston, MA,2001.
  15. Y. Rubner, C. Tomasi, and L. J. Guibas. "The Earth Mover's Distance as a Metric for Image Retrieval", International Journal of Computer Vision, 40(2):99-121, 2000.
  16. S. Cohen, L. Guibas. "The Earth Mover's Distance under Transformation Sets", IEEE International Conference on Computer Vision, II:1076-1083, 1999.
  17. A. Eriksson and P. Wretling, "How Flexible Is the Human Voice? A case study of mimicry," presented at European Conference Speech Technology, Rhodes, 1997.
  18. J. J. Kuch and T. S. Huang, "Vision-Based Hand Modeling and Tracking," Proc. IEEE Int'l Conf. Computer Vision, Cambridge, Mass. , June 1995.
  19. D. A. Reynolds, "Experimental Evaluation of Features for Robust Speaker Identification", IEEE Trans. Speech and Audio Processing2 (4), 1994, 639-643.
  20. R. Brunelli and T. Poggio, "Face recognition: Features versus templates," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1042-1052, 1993.
Index Terms

Computer Science
Information Sciences

Keywords

Biometric System System Performance Authentication Recognition Emd

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