Submit your paper : editorIJETjournal@gmail.com
Paper Title : A Survey on Applications, challenges and Research Areas of Multimodal Biometrics
ISSN : 2395-1303
Year of Publication : 2021
MLA Style: -Mohamed Sadiq. B, Dr. Chetana Prakash , " A Survey on Applications, challenges and Research Areas of Multimodal Biometrics " Volume 7 - Issue 1 January - February,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org
APA Style: -Mohamed Sadiq. B, Dr. Chetana Prakash , " A Survey on Applications, challenges and Research Areas of Multimodal Biometrics " Volume 7 - Issue 1 January - February,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org
- Today biometric recognition is one of the most important techniques for the security. Biometrics uses various physiological or behavioral characteristics. Common physiological biometric measurements include fingerprints, iris, face, hand, retina, signature, speech, rhythm, etc. Biometric technique provides the separate characteristics of a person which is always prevalent. Thus the benefit to a biometric is that it does not change or lose. Biometric systems for today’s high security applications must meet stringent performance requirements. The fusion of multiple biometrics helps to minimize the system error rates. Fusion methods include processing biometric modalities sequentially until an acceptable match is obtained. More sophisticated methods combine scores from separate classifiers for each modality. This paper is A Survey on Applications, challenges and Research Areas of Multimodal Biometrics.
1. A. K. Jain, A. Ross and S. Prabhakar, “An introduction to biometric recognition”. IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, pp. 4–20, Jan 2004. 2. Chander Kant, Rajender Nath, “Reducing Process-Time for Fingerprint Identification System”, International Journals of Biometric and Bioinformatics, Vol. 3, Issue 1, pp.1-9, 2009. 3. A.K. Jain, A. Ross, “Multibiometric systems”. Communications of the ACM, vol. 47, pp. 34- 40, 2004. 4. A. Ross, A.K. Jain, “Multimodal Biometrics: An Overview”, 12th European Signal Processing Conference (EUSIPCO), Vienna, Austria, pp. 1221- 1224, 9/2004. 5. L. I. Kuncheva, C. J. Whitaker, C. A. Shipp, and R. P. W. Duin, “Is independence good for combining classifiers?”. in Proceedings of International Conference on Pattern Recognition (ICPR), vol. 2, (Barcelona, Spain), pp. 168– 171, 2000. 6. Gokberk, B., A.A. Salah. and L. Akarun, “Rank-Based Decision Fusion for 3D Shape-Based Face Recognition,” LNCS 3546: AVBPA, pp. 1019-1028, July 2005. 7. Xu, C., Y. Wang, T. Tan and L. Quan, Automatic 3D face recognition combining global geometric features with local shape variation information,” Aut. Face and Gesture Recog., pp. 308 -313, 2004. 8. Chang, K. I., K. W. Bowyer, and P. J. Flynn, “An evaluation of multi-modal 2D+3D face biometrics,” IEEE Trans. on PAMI 27 (4), pp. 619-624, April 2005. 9. Chandran GC, Rajesh RS (2009). Performance Analysis of Multimodal Biometric System Authentication, Int. J. Comput. Sci. Network Security, 9: 3. 10. . Chin YJ, Ong TS, Goh MKO, Hiew BY (2009). Integrating Palmprint and Fingerprint for Identity Verification, Third International Conference on Network and System Security. 11. Shahin MK, Badawi AM, Rasmy ME (2008). A Multimodal Hand Vein, Hand Geometry and Fingerprint Prototype Design for High Security Biometrics, CIBEC'08. 12. Yao YF, Jingb XY, Wong HS (2007). Face and palmprint feature level fusion for single sample biometrics recognition, Neurocomputing, 70: 1582-1586. 13. Zhou J, Su G, Jiang C, Deng Y, Li C (2007). A face and fingerprint identity authentication system based on multiroute detection, Neurocomputing, 70: 922-931. 14. Tayal A, Balasubramaniam R, Kumar A, Bhattacharjee A, Saggi M (2009). A Multimodal Biometric Authentication System Using Decision Theory, Iris and Speach Recognition, 2nd International Workshop on Nonlinear Dynamics and Synchronization. 15. Chu R, Liao S, Han Y, Sun Z, Li SZ, Tan T (2007). Fusion of Face and Palm print for Personal Identification Based on Ordinal Features”. 16. Poinsot A, Yang F, Paindavoine M (2009). Small Sample Biometric Recognition Based on Palmprint and Face Fusion, Fourth International Multi-Conference on Computing in the Global Information Technology. 17. A.Ross, K.Nandakumar, and A.K. Jain, “Handbook of Multibiometrics”, Springer-Verlag edition, 2006. 18. George Chellin Chandra . J, Dr. Rajesh. R.S, “Performance Analysis of Multimodal Biometric System Authentication” International Journal of Computer Science and Network Security, VOL.9 No.3, March 2009. 19. Ailon, N.,Charikar, M., & Newman, A. (2015). Aggregating inconsistent information: Ranking and clustering. In Proceedings of 37th Annual ACM Symposium on Theory of Computing (STOC), (pp. 684- 693). Baltimore, MD: ACM. 20. Phillips, P.J., P. Grother R.J. Michaels, D.M. Blackburn and E. Tabassi and J.M. Bone, “FRVT 2002: overview and summary", March 2003. 21. Nageshkumar.M, Mahesh.PK, and M.N. Shanmukha Swamy, “An Efficient Secure Multimodal Biometric Fusion UsingPalmprintand Face Image”, IJCSI International Journal of Computer Science Issues, Vol. 2, 2009. 22. Anil Jain, Karthik Nandakumara, and Arun Ross, “Score normalization in multimodal biometric systems”, Pattern Recognition 38 (2005) 2270–2285, 18 January 2005, www.elsevier.com/locate/patcog. 23. Andrew Teoh, S. A. Samad and A. Hussain, “Nearest Neighbourhood Classifiers in a Bimodal Biometric Verification System Fusion Decision”, Journal of Research and Practice in Information Technology, Vol. 36, No. 1, February 2004. 24. Farhat Anwar, Arafatur Rahman, and Saiful Azad, “Multibiometric Systems Based Verification Technique”, European Journal of Scientific Research ISSN 1450-216X Vol.34 No.2 (2009), pp.260-270© EuroJournals Publishing YannisStylianou, YannisPantazis, Felipe Calderero, Pedro Larroy, Francois Severin, SaschaSchimke, Rolando Bonal, Federico Matta, and AthanasiosValsamakis. “GMMBased Multimodal Biometric Verification”, Enterface’05, July18th -August 12th, MONS, Belgium - Final Project Report.
Multimodal biometrics, FAR, FRR,Biometric fusion.