International Journal of Engineering
Trends and Technology

Research Article | Open Access | Download PDF

Volume 33 | Number 2 | Year 2016 | Article Id. IJETT-V33P267 | DOI : https://doi.org/10.14445/22315381/IJETT-V33P267

Multimodal Biometric Identification System - An Overview


N.Gopal, Dr.R.K. Selvakumar

Citation :

N.Gopal, Dr.R.K. Selvakumar, "Multimodal Biometric Identification System - An Overview," International Journal of Engineering Trends and Technology (IJETT), vol. 33, no. 2, pp. 351-355, 2016. Crossref, https://doi.org/10.14445/22315381/IJETT-V33P267

Abstract

In the development of recent technologies, a biometrics system has been the important affordable and more reliable system. A Biometrics identification system is refers to the automatic recognition of individual person based on their characteristics. Basically biometrics system has two broad areas namely unimodal biometric system and multimodal biometric system. In unimodal system it has some disadvantage due to its lack of nonuniversality and unacceptable error rate. To overcome those unimodal challenging issues, multimodal is the better system for its two or three level of identification and verification. In this paper multimodal biometrics system characteristics are studied with various biometrics traits. The comparison of different modalities is also processed in this paper to choose the best authentication mechanism. This paper performs a well studied system based on multi biometrics system with its processing.

Keywords

Biometrics, Unimodal system, Multimodal biometrics, Biometrics traits.

References

[1] V. Aggithaya et al., “A Multimodal biometric authentication system based on 2D and 3D palmprint features”, Proc. of SPIE Vol. 6944 69440C-1- 2012.
[2] Jain.A et al., “An identity authentication system using Fingerprints”, In Proceedings of the IEEE (September 1997), vol. 85, pp. 1365–1388.
[3] Karthik Nandakumar et al. “Fusion in Multibiometric Identification Systems: What about the Missing Data”, to appear in Proc. of ICB, Alghero, June 2009, pp. 1-10.
[4] M. Kazi and Y. Rode, “multimodal biometric system using face and signature: a score level fusion approach”, Advances in Computational Research, Vol. 4, No. 1, 2012.
[5] Komal Sondhi and Yogesh Bansal, “Concept of Unimodal and Multimodal Biometric System”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 6, June 2014, pp. 394-400.
[6] Meraoumia et al., “Fusion of Finger-Knuckle-Print and Palm print for an Efficient Multi-biometric System of Person Recognition”, IEEE ICC 2011.
[7] Mohamed Soltane et al. “Face and Speech Based Multi- Modal Biometric Authentication”, International Journal of Advanced Science and Technology, Vol. 21, August, 2010, pp. 41-56.
[8] Ratha.N et al. “Adaptive flow orientation based feature extraction in fingerprint images Pattern Recognition”, Vol.11, Issue 28 (1995), pp. 1657–1672.
[9] A.Ross and R. Govindarajan, “Feature Level Fusion Using Hand and Face Biometrics”, In Proceeding of SPIE Conference on Biometrics Technology for Human Identification, volume 5779, Florida, U.S.A., March 2005, pp.196-204.
[10] Sheetal Chaudhary and Rajender Nath, “A New Multimodal Biometric Recognition System Integrating Iris, Face and Voice”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 4, April 2015, pp. 145-150.
[11] Dr. Shubhamgi and D.C.Manohar Bali, “Multi-Biometric Approaches to Face and Fingerprint Biometrics”, International Journal of Engineering Research & Technology, ISSN- 2278-0181, 2012.

Time: 0.0015 sec Memory: 32 KB
Current: 1.88 MB
Peak: 4 MB