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Efficient Iris and Fingerprint Fusion for Person Identification

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 17
Year of Publication: 2012
Authors:
P. U. Lahane
S. R. Ganorkar
10.5120/7860-0914

P u Lahane and S R Ganorkar. Article: Efficient Iris and Fingerprint Fusion for Person Identification. International Journal of Computer Applications 50(17):1-6, July 2012. Full text available. BibTeX

@article{key:article,
	author = {P.u. Lahane and S. R. Ganorkar},
	title = {Article: Efficient Iris and Fingerprint Fusion for Person Identification},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {17},
	pages = {1-6},
	month = {July},
	note = {Full text available}
}

Abstract

Security of information is one of the most important factors of information technology and communication. So systems need strong procedures to protect data and resources access from unauthorized users. Biometric-based authentication systems represent a valid alternative to conventional approaches. Multimodal biometric system is used in order to improve the accuracy. A multimodal biometric identification systems aims to fuse two or more physical or behavioral traits. Multimodal biometric identification system based on iris & fingerprint trait is proposed. Typically in a multimodal biometric system each biometric trait processes its information independently. The processed information is combined using an appropriate fusion scheme. A template level fusion algorithm results in a homogeneous biometric vector by integrating iris & fingerprint data. Successively, the comparison of data base template and the input data is done with the help of hamming-distance matching algorithm. If the templates are matched we can allow the person to access the system. The proposed multimodal biometric system will improve system accuracy & dependability.

References

  • Vincenzo Conti, Carmelo Militello, Filippo Sorbello & Salvatore Vitabile "A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems" IEEE Transaction on systems, Man & Cybernetics—Part C: Applications & Reviews, VOL. 40, No. 4, JULY 2010.
  • 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.
  • N. K. Ratha, R. M. Bolle, V. D. Pandit, and V. Vaish, "Robust fingerprint authentication using local structural similarity," in Proc. 5th IEEE Workshop Appl. Comput. Vis. , Dec. 4–6, 2000, pp. 29–34. DOI 10. 1109/WACV. 2000. 895399.
  • Y. Zhu, T. Tan, and Y. Wang, "Biometric personal identification on iris patterns," in Proc. 15th Int. Conf. Pattern Recogn. 2000, vol. 2, pp. 805–808.
  • L. Ma, Y. Wang and D. Zhang, "Efficient iris recognition by characterizing key local variations" IEEE Trans. Image Process. , vol. 13, no. 6, pp. 739–750, Jun. 2004.
  • 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.
  • F. Yang and B. Ma, "A new mixed-mode biometrics informationfusion 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.
  • F. Besbes, H. Trichili, and B. Solaiman, "Multimodal biometric system based on fingerprint identification and Iris recognition," in Proc. 3rd Int. IEEE Conf. Inf. Commun. Technol. : From Theory to Applications (ICTTA 2008), pp. 1–5. DOI: 10. 1109/ICTTA. 2008. 4530129.
  • 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.
  • Fingerprint Verification Competition FVC2002. (2009, Nov. ). [Online]. Available: http://bias. csr. unibo. it/fvc2002/
  • BATH Iris Database, University of Bath Iris Image Database. (2009,Nov. )[Online]. Available:http://www. bath. ac. uk/eleceng/research/sipg/irisweb/
  • Austin Hicklin, Brad Ulery, Craig Watson "A Brief Introduction to Biometric Fusion" 16 June 2006.
  • Arun Ross, Anil Jain, Jain-Zhong Qian "Information Fusion in Biometrics" Appeared in Proc. of 3rd Int'l Conference on Audio- and Video-Based Person Authentication (AVBPA), pp. 354-359, Sweden, June 6-8, 2001.
  • M. L. Pospisil, "The human Iris structure and its usages," Acta Univ. Palacki Phisica, vol. 39, pp. 87–95, 2000.
  • R. C. Gonzalez and R. E. Woods, Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 2008.
  • V. Shiv Naga Prasad, Justin Domke, "Gabor Filter Visualization".
  • Hong-Bo Deng, Lian-Wen Jin, Li-Xin Zhen, Jian-Cheng Huang "A New Facial Expression Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA", International Journal of Information Technology Vol. 11 No. 11 2005.