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Multimodal Biometric System using Iris and Inner-Knuckle Print

by V. Arulalan, N. Geetha, V. Premanand
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 6
Year of Publication: 2014
Authors: V. Arulalan, N. Geetha, V. Premanand
10.5120/18522-9716

V. Arulalan, N. Geetha, V. Premanand . Multimodal Biometric System using Iris and Inner-Knuckle Print. International Journal of Computer Applications. 106, 6 ( November 2014), 5-9. DOI=10.5120/18522-9716

@article{ 10.5120/18522-9716,
author = { V. Arulalan, N. Geetha, V. Premanand },
title = { Multimodal Biometric System using Iris and Inner-Knuckle Print },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 6 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number6/18522-9716/ },
doi = { 10.5120/18522-9716 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:40.001820+05:30
%A V. Arulalan
%A N. Geetha
%A V. Premanand
%T Multimodal Biometric System using Iris and Inner-Knuckle Print
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 6
%P 5-9
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multimodal biometrics system becomes an inexorable trend in future. Multimodal biometrics overcomes many drawbacks over unimodal biometrics. Some of the drawbacks are non-universality, noisy data and spoof attack. Multimodal biometric is more efficient and accurate than unimodal system. In this paper we present a multimodal biometric recognition system using Iris and finger Inner-knuckle print. This system will give excellent result over performance.

References
  1. M. Deriche, "Trends and Challenges in Mono and Multi Biometrics," in Proc. of Image Processing Theory, Tools and Application (IPTA), Sousse, pp. 1-9, 23-26 Nov 2008.
  2. A. Ross, K. Nandakumar and A. K. Jain. Handbook of Multibiometrics. Springer, New York, USA, 1st edition, 2006.
  3. A. Ross and A. Jain, "Multimodal biometrics: An overview," 12th European Signal Processing Conference, Vienna, pp. 1221–1224, 2004.
  4. Yu Wang, Zaiwen Liu, "A Survey on Multimodal Biometrics," Advances in Automation And Robotics, Vol. 2, LNEE 123, pp. 387-396, Springer-Verlag Berlin Heidelberg, 2011.
  5. Ross, A. , Jain, A. K. , "Information fusion in biometrics," Pattern Recognition Letters 24, pp. 2125–2215, 2003.
  6. Ross, A. and Jain, A. K. "Information Fusion in Biometrics". 3rd Int'l Conference on Audio- and Video-Based Person Authentication (AVBPA), pp. 354-359, Sweden, June 6-8, 2001.
  7. Ross, A. , Jain, A. K. : Multimodal biometrics: An overview. In: 12th European Signal Processing Conference, Vienna, pp. 1221–1224 (2004)
  8. Ross, A. , Jain, A. K. : Information fusion in biometrics. Pattern Recognition Letters 24,2125–2215 (2003)
  9. S. Hariprasath and T. Prabakar, "Multimodal Biometric Recognition using Iris Feature Extraction and Palmprint Features," in Proc. of International Conference on Advances in Engineering, Science and Management (ICAESM), Nagapattinam, pp. 174-179, 30-31 March 2012.
  10. A. Kumar, M. Hanmandlu and S. Vasikarla, "Rank Level Integration of Face Based Biometrics," in Proc. of Ninth International Conference on Information Technology: New Generations (ITNG), Las Vegas, pp. 36-41, 16-18 April 2012.
  11. S. Jahanbin, Hyohoon Choi and A. Bovik, "Passive Multimodal 2D+3D Face Recognition using Gabor Features and Landmark Distances," IEEE Trans. on Information Forensics and Security, vol. 6, no. 4, pp. 1287-1304, Dec. 2011.
  12. T. Murakami and K. Takahashi, "Fast and Accurate Biometric Identification Using Score Level Indexing and Fusion," in Proc. Of International Joint Conference on Biometrics (IJCB), USA, pp. 978-985, 2011.
  13. J. Fierrez-Aguilar, J. Ortega-Garcia, D. Garcia-Romero, and J. Gonzalez Rodriguez, ?A comparative evaluation of fusion strategies for multimodal biometric verification,?in Proc. 4th Int, Conf,Audio-video-based Biometric Person Authentication , J. Kittler and M. Nixon, Eds. , 2003 vol. LNCS 2688, pp. 830–837
  14. Michael, G. K. O. , Connie, T. ; Jin, A. T. B. , Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference, 323 – 329.
  15. Sarat C. Dass, Karthik Nandakumar, and Anil K. Jain, Principled Approach to Score Level Fusion in Multimodal Biometric Systems, Proceedings of AVBPA 2005.
  16. A. Ramachandra and S. Abhilash, "Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques", IOSR Journal of Computer Engineering (IOSRJCE), No. 3 (July-Aug. 2012).
  17. Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE TransPattern Anal Mach Intell 22(1):4–37.
  18. Li Q, Qiu ZD, Sun DM et al (2004) Personal identification using knuckle print. Advances in Biometric Person Authentication. In: Proceedings of SINOBIOMETRICS'04, pp 680–689.
  19. Luo RF, Lin TS, Wu T (2007) Personal recognition with finger crease pattern. Opto-Electron Eng 34(6):116–121.
  20. Arulalan. V, Balamurugan. G, Premanand. V, A Survey on Biometric Recognition Techniques, International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 2, February 2014.
  21. J. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence," IEEE Trans. Pattern Anal. Machine Intell, vol. 15, pp. 1148-61, 1993.
  22. Aditya, A. , & Stephanie, S. (2010). A novel biorthogonal wavelet network system for off-angle iris recognition. Pattern Recognition, 43, 987–1007.
  23. L. Ma, T. Tan, Y. Wang and D. Zhang, "Efficient Iris Recognition by Characterizing Key Local Variations", IEEE Transactions on Image Processing, Vol. 13, No. 6, June 2004, pp739-750.
  24. A. Kumar and C. Ravikanth, "Personal authentication using finger knuckle surface", IEEE Trans. Info. Forensics & Security, vol. 4, no. 1, pp. 98-110, March 2009.
  25. Tomasi C, Manduchi R (1998) Bilateral filtering for gray and color images. In: Proceedings of IEEE international computer vision (ICCV) conference.
  26. Wu X, Zhang David, Wang K (2006) Palm-line extraction and matching for personal authentication. IEEE Trans Syst Man Cybern Part A 36(5):978–98.
  27. A. Pour, K. Faez, and R. Amirfattahi "Multimodal biometric system using face, ear and gait biometrics", 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).
  28. Chinese Academy of Science - Institute of Automation, Database of the Eye Grayscale Images. http://www. sinobiometrics. com.
  29. T. Sabareeswari and S. Stuwart," Identification of a Person Using Multimodal Biometric System", International Journal of Computer Applications (0975 – 8887) Vol. 3 – No. 9, July 2010
  30. L. Hong and A. Jain, "Integrating faces and fingerprints for personal identification", IEEE Trans. Pattern Anal. Mach. Intell. , Vol. 20, No. 12, pp. 1295– 1307, December 1998.
Index Terms

Computer Science
Information Sciences

Keywords

Iris Inner-knuckle print Biometric Fusion Matching score Multibiometrics.

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