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MultiModal Identification System in Monozygotic Twins
Dinakar das CN, S.Peumal Sankar, Nisha George
Pages - 72 - 80     |    Revised - 15-01-2013     |    Published - 28-02-2013
Volume - 7   Issue - 1    |    Publication Date - February 2013  Table of Contents
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KEYWORDS
Fisher Faces, Principal Component Analysis, Local Binary Pattern, Receiver Operating Characteristics Curve.
ABSTRACT
With the increase in the number of twin births in recent decades, there is a need to develop alternate approaches that can secure the biometric system. In this paper an effective fusion scheme is presented that combines information presented by multiple domain experts based on the rank-level fusion integration method. The developed multimodal biometric system possesses a number of unique qualities, starting from utilizing Fisher’s Linear Discriminant methods for face matching, Principal Component Analysis for fingerprint matching and Local binary pattern features for iris matching and fused the information for effective recognition and authentication The importance of considering these boundary conditions, such as twins, where the possibility of errors is maximum will lead us to design a more reliable and robust security system.The proposed approach is tested on a real database consisting of 50 pair of identical twin images and shows promising results compared to other techniques. The Receiver Operating Characteristics also shows that the proposed method is superior compared to other techniques under study.
CITED BY (4)  
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3 Mohd-Isa, W. N., Abdullah, J., & Eswaran, C. (2014). Distinguishing Twins by Gait via Jackknife-Like Validation in Classification Analysis. In Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) (pp. 301-308). Springer Singapore.
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Mr. Dinakar das CN
Lourdes Matha College of Science and Technology - India
dinakardas@gmail.com
Mr. S.Peumal Sankar
NIMS University,Jaipur - India
Mr. Nisha George
Lourdes Matha College of Science and Technology - India


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