Multimodal Biometric System

Authors:
V. C. Subbarayudu;Munaga V. N. K. Prasad
Affiliations:
-;-
Venue:
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Year:
2008

Citing 0
Cited 5

A frequency-based approach for features fusion in fingerprint and iris multimodal biometric identification systems

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A novel multialgoritmic approach for improving accuracy of iris recognition using Haar, multiresolution and new block sum method

Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Efficient method of person authentication based on fusion of best bits in left and right irises

International Journal of Biometrics
A novel algorithm for feature level fusion using SVM classifier for multibiometrics-based person identification

Applied Computational Intelligence and Soft Computing
An improved palmprint recognition system using iris features

Journal of Real-Time Image Processing

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Abstract

Single biometric system has certain inherent problems such as noisy sensor data, non-universality of biometric trait, restricted degrees of freedom and unaccepted error rates. Multibiometric system tries to overcome these problems by providing multiple evidences of the same identity. One other advantage is spoofing of these multibiometrics simultaneously become more difficult for an intruder. In this paper, Iris and Palmprint are the two biometrics used to build multibiometric system. Information presented by these two biometrics is fused to make the system efficient. Here fusion of two modalities is done at the matching score level by using a technique called Sum Rule. This paper presented experimental results of an Iris recognition, Palmprint authentication and Multibiometric system (fusion of Iris and Palmprint). An experimental result shows that the Multimodal biometric system is efficient compared to unimodal biometric system.