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

• 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.
• A. Ross, K. Nandakumar and A. K. Jain. Handbook of Multibiometrics. Springer, New York, USA, 1st edition, 2006.
• A. Ross and A. Jain, "Multimodal biometrics: An overview," 12th European Signal Processing Conference, Vienna, pp. 1221–1224, 2004.
• 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.
• Ross, A. , Jain, A. K. , "Information fusion in biometrics," Pattern Recognition Letters 24, pp. 2125–2215, 2003.
• 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.
• Ross, A. , Jain, A. K. : Multimodal biometrics: An overview. In: 12th European Signal Processing Conference, Vienna, pp. 1221–1224 (2004)
• Ross, A. , Jain, A. K. : Information fusion in biometrics. Pattern Recognition Letters 24,2125–2215 (2003)
• 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.
• 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.
• 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.
• 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.
• 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
• Michael, G. K. O. , Connie, T. ; Jin, A. T. B. , Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference, 323 – 329.
• Sarat C. Dass, Karthik Nandakumar, and Anil K. Jain, Principled Approach to Score Level Fusion in Multimodal Biometric Systems, Proceedings of AVBPA 2005.
• 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).
• Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE TransPattern Anal Mach Intell 22(1):4–37.
• 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.
• Luo RF, Lin TS, Wu T (2007) Personal recognition with finger crease pattern. Opto-Electron Eng 34(6):116–121.
• 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.
• 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.
• Aditya, A. , & Stephanie, S. (2010). A novel biorthogonal wavelet network system for off-angle iris recognition. Pattern Recognition, 43, 987–1007.
• 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.
• 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.
• Tomasi C, Manduchi R (1998) Bilateral filtering for gray and color images. In: Proceedings of IEEE international computer vision (ICCV) conference.
• 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.
• 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).
• Chinese Academy of Science - Institute of Automation, Database of the Eye Grayscale Images. http://www. sinobiometrics. com.
• 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
• 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.