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A Comparative Study on Fusion Strategies in Multimodal Biometric System
Abstract
Most of the business applications use biometrics to authenticate and verify the person when a transaction is made. Biometric systems are of two types: unimodal and multimodal. unimodal biometrics use only single trait like fingerprint, iris, face and retina (physiological trait) or gait, voice, handwritten (behavioral trait) to verify the person. But it suffers from some limitations of noise in sensed data, intra-class variation, inter-class similarities, non-universality and spoof attacks. Multimodal biometric systems overcome some of these limitations through fusion process. Multimodal biometric system provides more accuracy when compared to unimodal biometric system. The main goal of multimodal biometric system is to develop the security system for the areas that require high level of security. a reliable and successful multimodal biometric system needs an effective fusion scheme to combine biometric characteristics derived from one or modalities. The goal of fusion is to determine the best set of experts in a given problem domain and helps to minimize the error rate. It also improves accuracy, efficiency, and system robustness and fault tolerance. In this survey different fusion techniques of multimodal biometrics have been discussed.
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References
C. Sanderson, K.K. Paliwal,”Information fusion and person verification using speech and face information”, Research Paper IDIAP-RR 02-33, IDIAP, September 2002.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
L. Hong and A. K. Jain, “Integrating faces and fingerprints for personal identification,” IEEE Trans. Pattern Anal. Mach. Intell, vol. 20, no. 12, pp.1295-1307, Dec.1998.K. Elissa, “Title of paper if known,” unpublished.
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.
Shoa'a JadAllah Al-Hijaili and Manal AbdulAziz,” Biometric in health care security system, Iris-Face fusion system,” International journal of academic research, vol.3, No.1, 2011, Part I.
A. K. Jain, K. Nandakumar, and A. Ross, “Score normalization in multimodal biometric systems,” Pattern Recognition, vol. 38, no. 12, pp. 2270–2285, 2005.
T. Wang, T. Tan, and A. K. Jain, “Combining face and iris iris biometrics for identity verification,” in Proc. 4th Int. Conf. Audio- Video-Based Biometric Person Authentication, J. Kittler and M. Nixon, Eds., 2003, vol. LNCS 2688, pp. 805–813.
K. A. Toh, X. D. Jiang, and W. Y. Yau, “Exploiting global and local decisions for multi-modal biometrics verification,” IEEE Trans. Signal Process. vol. 52, no. 10, pp. 3059–3072, Oct. 2004.
R. Snelick, U. Uludag, A. Mink, M. Indovina, and A. K. Jain, “Large scale evaluation of multimodal biometric authentication using state-of the-art systems,” IEEE Trans. Pattern Anal. Mach. Intel, vol. 27, no. 3, pp. 450–455, Mar. 2005.
Md. Maruf Monwar and Marina L. Gavrilova, “Multimodal Biometric System Using Rank-Level Fusion Approach”, IEEE Trans on systems, man, and Cybernetics, VOL. 39, no.4, 2009.
Sonia Garcia-Salicetti, Mohamed Anouar Mellakh, Lorène Allano, Bernadette Dorizzi,” Multimodal biometric score fusion: The mean rule Vs support vector classifers”, Department Electronique ET Physique, 2005.
Yan Yan and Yu-Jin Zhang, “Multimodal Biometrics Fusion Using Correlation Filter Bank", in proceedings of 19th International Conference on Pattern Recognition, pp. 1-4, Tampa, FL, 2008.
Ajay Kumar, David C.M.Wong, Helen C.Shen, and Anil K. Jain, “Personal verification using palmprint and hand geometry biometric,”in Proc. 4th Int. Conf. Audio- Video-Based Biometric Person Authentication, J. Kittler and M. Nixon, Eds., 2003, vol. LNCS 2668, pp. 668–678.
K. Nandakumar, A. Ross, and A. K. Jain, "Incorporating ancillary information in multibiometric systems," Handbook of Biometrics.New York: Springer-Verlag, pp. 335–355, 2007.
S. Ben-Yacoub, Y. Abdeljaoued, and E. Mayoraz, “Fusion of face and speech data for person identity verification”, Technical report, IDIAP Research Institute, number IDIAP-RR 99-03, 1999.
A. Kumar and D. Zhang, "Combining fingerprint, palmprint and hand-shape for user authentication," Proc. of InternationalConference of Pattern Recognition (ICPR), pp. 549-552, 2006.
Nageshkumar.M, Mahesh.PK and M.N. Shanmukha Swamy,” An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face Image”, IJCSI International journal of computer science Issues, vol.2, 2009.
A. Ross and R. Govindarajan, “Feature level fusion using hand and face biometrics,” in Proc. SPIE 2nd Conf. Biometric Technol. Human Identification, Orlando, FL, 2005, FL, 2005,
G. L. Marcialis and F. Roli, “Fingerprint verification by fusion of optical and capacitive sensors,” Pattern R'ecogn. Lett, vol. 25, no. 11, pp. 1315– 1322, Aug 2004.
T. Kinnunen, V. Hautamäki, and P. Fränti, “Fusion of spectral feature sets for accurate speaker identification,” in Proc. 9th Conf. Speech Comput., St. Petersburg, Russia, 2004, pp. 361-365.
V. Chatzis, A.G. Bors, I. Pitas,” Multimodal decision-level fusion for person authentication”, IEEE Trans. Systems Man Cybernet. Part A: Systems Humans 29 (6) (1999) 674–681.
P. Tamilselvi,” Palmprint and iris based authentication and secure key exchange against dictionary attacks”, IJCA, vol.11, no.11, pp.0975-8887, Dec2010.
Tobias Scheidat, Claus Vielhau and Jana Dittmann,” Distance-level fusion stratigies for online signature verification”, Otto-von-Guericke University Magdeburg, D-39106 Magdeburg,Germany.
A.Rattani, D.R.Kisku and M.Bisgo, ”Feature level fusion of face and fingerprint biometrics”, Italian Ministry of Research, the Ministry of Foreign Affairs and the Biosecure European Network of Excellence.
Dakshina Ranjan Kisku, Phalguni Gupta and jamuana kunta sing,” Feature Level Fusion of Face and Palmprint Biometrics by Isomorphic Graph-based Improved K-Medoids Partitioning,” {drkisku, jksing}@ieee.org; pg@cse.iitk.ac.in.
Ajay kumar and sumit shekhar,”Palmprint recognition using rank level fusion”, Department of Computing, The Hong Kong Polytechnic University, Hong Kong Department of Electrical and Computer Engineering, University of Maryland, College park, USA.
Ajay Kumar, David Zhang,” Personal authentication using multiple palmprint representation”, Journal of Pattern Recognition, vol. 38, pp. 1695 – 1704, 2004.
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