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Iris and Fingerprint Fusion for Biometric Identification

by Dipti S. Randive, Manasi M. Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 11
Year of Publication: 2013
Authors: Dipti S. Randive, Manasi M. Patil
10.5120/13438-1209

Dipti S. Randive, Manasi M. Patil . Iris and Fingerprint Fusion for Biometric Identification. International Journal of Computer Applications. 77, 11 ( September 2013), 20-26. DOI=10.5120/13438-1209

@article{ 10.5120/13438-1209,
author = { Dipti S. Randive, Manasi M. Patil },
title = { Iris and Fingerprint Fusion for Biometric Identification },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 11 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number11/13438-1209/ },
doi = { 10.5120/13438-1209 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:00.570159+05:30
%A Dipti S. Randive
%A Manasi M. Patil
%T Iris and Fingerprint Fusion for Biometric Identification
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 11
%P 20-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A biometric system which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirement. The basic aim of a biometric identify system is to make distinction automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal Biometric systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy and dependability. In an innovative multimodal biometric identify system based on Iris and fingerprint traits are proposed. Feature is extracted from preprocessed images of Iris and Fingerprint. These features of a query image are compared with those of a database image to obtain matching score and this score is fuse the final score is use to declare the person is accepted or rejected.

References
  1. Ross and A. Jain, "Information fusion in biometrics," Pattern Recogn. Lett. , vol. 24, pp. 2115–2125, 2003. DOI: 10. 1016/S0167–8655(03)00079-5.
  2. F. Yang and B. Ma, "A new mixed-mode biometrics informationfusion based-on fingerprint, hand-geometry and palm-print," inProc. 4th Int. IEEE Conf. Image Graph. , 2007, pp. 689–693. DOI:10. 1109/ICIG. 2007. 39.
  3. J. Cui, J. P. Li, and X. J. Lu, "Study on multi-biometric feature fusion and recognition model," in Proc. Int. IEEE Conf. Apperceiving Comput. Intell. Anal. (ICACIA), 2008, pp. 66–69. DOI: 10. 1109/ICACIA. 2008. 4769972.
  4. S. K. Dahel and Q. Xiao, "Accuracy performance analysis of multimodal biometrics," in Proc. IEEE Syst. , Man Cybern. Soc. , Inf. Assur. Workshop,2003, pp. 170–173. DOI:10. 1109/SMCSIA. 2003. 1232417.
  5. A. K. Jain, L. Hong, Y. Kulkarni, "A Multimodal Biometric System using Fingerprints, Face and Speech", 2nd Int'l Conference on Audio- and Video-based Biometric Person Authentication, Washington D. C. , pp. 182-187,March 22-24, 1999.
  6. V. Conti, G. Milici, P. Ribino, S. Vitabile, and F. Sorbello, "Fuzzy fusion in multimodal biometric systems," in Proc. 11th LNAI Int. Conf. Knowl. -Based Intell. Inf. Eng. Syst. (KES 2007/WIRN 2007), Part I LNAI 4692. B. Apolloni et al. , Eds. Berlin, Germany: Springer-Verlag, 2010,pp. 108–115.
  7. F. Yang and B. Ma, "A new mixed-mode biometrics information fusion based-on fingerprint, hand-geometry and palm-print," in Proc. 4th Int. IEEE Conf. Image Graph. , 2007, pp. 689–693. DOI:10. 1109/ICIG. 2007. 39.
  8. G. Aguilar, G. Sanchez, K. Toscano, M. Nakano, and H. Perez, "Multimodal biometric system using fingerprint," in Proc. Int. Conf. Intell. Adv. Syst. 2007, pp. 145–150. DOI: 10. 1109/ICIAS. 2007. 4658364.
  9. V. C. Subbarayudu and M. V. N. K. Prasad, "Multimodal biometric system,"in Proc. 1st Int. IEEE Conf. Emerging Trends Eng. Technol. , 2008, pp. 635–640. DOI 10. 1109/ICETET. 2008. 93.
  10. Yunhong Wang, Tieniu Tan, and Anil K. Jain,"Combining Face and Iris Biometrics for Identity Verification". Systems, Proc. of Audio- and Video-based Biometric Person Authentication (AVBPA), Rye Brook, NY, 2005.
  11. S. C. Dass, K. Nandakumar, & A. K. Jain, A Principled Approach to Score Level Fusion in Multimodal Biometric
  12. L. Lam S W Lee, and C Y Suen, "Thinning Methodologies-A Comprehensive Survey", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, pp. 869-885, (1992).
  13. Hartwing Fronthaler, Klaus kollreider, and Josef Bigun, "Local Features for Enhancement and Minutiae Extraction in Fingerprints", IEEE Transactions on Image Processing, vol. 17, no, 3, pp. 354-363, (2008).
  14. L. Flom, & A. Safir, Iris Recognition System, U. S. Patent No. 4641394, 1987.
  15. A. E. Hassanien, & J M. Ali, An Iris Recognition System to Enhance E-security Environment Based on Wavelet Theory, Advanced Modeling and Optimization Journal, 5(2), 2003, 93-104.
  16. Prabhakar, S, Jain, A. K, Jianguo Wang, Pankanti S, Bolle, "Minutia Verification and Classification for Fingerprint Matching", International Conference on Pattern Recognition vol. 1, pp. 25-29, (2002).
  17. D. Maltoni, D. Maio, and A. Jain, S. Prabhakar, "4. 3: Minutiaebased Methods' (extract) from Handbook of Fingerprint Recognition", Springer, New York, pp. 141-144, 2003.
  18. N. Ratha, S. Chen and A. K. Jain, "Adaptive Flow Orientation Based Feature Extraction in Fingerprint Images", Pattern Recognition, Vol. 28, pp. 1657-1672, November 1995.
  19. Image Systems Engineering Program, Stanford University. Student project By Thomas Yeo, Wee Peng Tay, Ying Yu Tai.
  20. L. C. Jain, U. Halici, I. Hayashi, S. B. Lee and S. Tsutsui. Intelligent biometric techniques in fingerprint and face recognition. 1999, the CRC Press.
  21. Lin Hong. "Automatic Personal Identification Using Fingerprints", Ph. D. Thesis, 1998.
  22. Fingerprint Verification Competition FVC2004. (2009, Nov. ). [Online]. Available: http://bias. csr. unibo. it/fvc2004/
  23. CASIA database (Institute of Automation, Chinese Academy of Sciences, http://www. sinobiometrics. com/).
  24. S. Prabhakar, A. K. Jain, and J. Wang, "Minutiae verification and classification,"presented at the Dept. Comput. Eng. Sci. , Univ. Michigan State,East Lansing, MI, 1998.
  25. V. Conti, C. Militello, S. Vitabile, and F. Sorbello, "A multimodal technique for an embedded fingerprint recognizer in mobile payment systems,"Int. J. Mobile Inf. Syst. , vol. 5, no. 2, pp. 105–124, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Iris Fingerprint morphological operators Haar wavelet Hamming distance Minutia matcher Sum rule and Fusion.

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