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http://dx.doi.org/10.7840/kics.2015.40.1.132

Technology Review on Multimodal Biometric Authentication  

Cho, Byungchul (Korea Institute of Science and Technology Information, ReSEAT)
Park, Jong-Man (Korea Institute of Science and Technology Information, ReSEAT)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.40, no.1, 2015 , pp. 132-141 More about this Journal
Abstract
There might have been weakness in securing user authentication or verification with real time service approach, while existing unimodal biometric authentication has been used mainly for user identification and recognition. Accordingly, it is essential to research and develop ways that upgrade security performance with multi biometric based real time authentication and verification technology. This paper focused to suggest binding assignment and strategy for developing multi biometric authentication technology through investigation of advanced study and patents. Description includes introduction, technology outline, technology trend, patent analysis, and conclusion.
Keywords
unimodal biometric; multimodal biometric; authentication; patents analysis; strategic assignment;
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  • Reference
1 Http://biz.chosun.com/site/data/html_dir/2014/06/26/2014062602815.html
2 C. Rathgeb and C. Busch, Multi-biometric template protection: issues and challenges, Da/sec Biometrics and Internet Security Research Group, Center for Advanced Security Research Darmstadt (CASED) D-64283, pp. 173-190, Nov. 2012.
3 A. K. Jain, P. J. Flynn, and A. A. Ross, Handbook of Biometrics, Springer-Verlag, 2008.
4 A. A. Fathima, S. Vasuhi, N. T. Naresh Babu, V. Vaidehi, and T. M. Treesa, "Fusion framework for multimodal biometric person authentication system," IA ENG Int. J. Comput. Sci., vol. 41, no. 1, (Advance online publication: 13 Feb. 2014)
5 A. K. Jain, A. Ross, and S. Prabhakar, "An introduction to biometric recognition," IEEE Trans. Circuits and Syst. for Video Technol., vol. 14, no. 1, pp. 4-20, Jan. 2004.   DOI   ScienceOn
6 A. Ross, "An introduction to multi biometrics," in Proc. 15th European Signal Process. Conf., Poznam, Poland, Sept. 2007, Retrieved from http:// www.cse.msu.edu/-rossarun/pubs/RossInt roMultibio_EUSIPCO07.pdf, Oct. 2014.
7 Small & Medium Business Administration, Small & Medium Business Corporation, Biometric technology & market report, Oct. 2009.
8 E. F. Nakamura, A. F. Loureiro, and A. C. Frery, "Information fusion for wireless sensor networks: Methods, models, and classifications," ACM Computing Surveys, vol. 39, no. 3, Article 9, 2007.
9 K. Hurst, "Biometrics overview," NSTC Subcommittee on Biometrics, Article 6 of the Data Protection Directive, 2006.
10 R. Vinothkanna and A. W. Ahi, "Fuzzy vault fusion based multimodal biometric human recognition system with fingerprint and ear," J. Theoretical and Appl. Inf. Technol., vol. 59, no. 2, pp. 304-316, Jan. 2014.
11 O. M. Aly, H. M. Onsi, G. I. Salama, and T. A. Mahmoud, "A multimodal biometric recognition system using feature fusion based on PSO," Int. J. Advanced Research in Comput. Commun. Eng., vol. 2, no. I1, pp. 4336-4343, Nov. 2013.
12 S. Brindha, IIa. Vennila, and B. Nivedetha, "Performance analysis of fused eye vein and finger vein multimodal biometric system," Int. J. Eng. Research and Development, vol. 10, no. 7, pp. 69-75, Jul. 2014.
13 S. A. Radzi, M. H. Khalil-Hani, and R. Bakhteri, Finger-vein biometric identification using convolutional neural network, Retrieved from file:///C:/Users/user/Downoads/LK-1311-43_manuscript_2.pdf, Nov. 2014.
14 R. R. Heckle, A. S. Patrick, and A. Ozok, "Perception and accept ance of fingerprint biometric technology," in Proc. Symp. Usable Privacy and Security (SOUPS''07), pp. 153-154, 2007.
15 H. Witte, C. Rathgeb, and C. Busch, "Context aware mobile biometric authentication based on support vector machines," in Proc. Int. Conf. Emerging Security Technol. (ES T13), pp. 29-32, Retrieved from http://ieeexplore.ieee.org, Oct. 2014.
16 M. L. Gavrilva and R. V. Yampolskiy, "Applying biometric principles to avatar recognition," 2010 Int. Conf. Cyberworlds (CW), pp. 179-186, Singapore, Oct. 2010.
17 S. Yanushkevich, M. Gavrilova, P. Wang, and S. Srihari, Image pattern recognition: Synthesis and analysis in biometrics, World Scientific Publishers, 2007.
18 P. P. Paul and M. Gavrilova, "Multi modal cancellable biometric," IEEE 10th Int. Conf. Cognitive Informatics & Cognitive Computing ICCI*CC 2012, pp. 43-49, Kyoto, 2012.
19 M. L. Gavrilova, "Biometric-based authentication cyberworld security: Challenges and opportunities," Canadian Defence & Foreign Affairs Inst., pp. 1-9, Jun. 2014,
20 KISA, "Investigation for trend of global information protection industry in america," Issue no. 3, pp. 1-25, 2013.
21 Goode Intelligence, Fingerprint Biometrics Market Intelligence, 1st Ed., Retrieved from http//:www.goodeintelligence.com, Nov./ Dec. 2103.
22 JRM Research, Biometrics on mobile and wearable devices set to become the universal personal authenticator, Retrieved from https://jrminfo.wordpress.com/2014/10/08/jrm-research