Multimodal biometric authentication system using LDR based on selective small reconstruction error

Savitha, G. and Vibha, L. and Venugopal, K.R. (2016) Multimodal biometric authentication system using LDR based on selective small reconstruction error. Journal of Theoretical and Applied Information Technology, 92 (1). p. 171. ISSN 1992-8645

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Abstract

In Biometrics, physiological or behavioral features are utilized to validate an individual's identity. Though, a substantial amount of research has carried out in this field, unimodal biometric frameworks regularly experience some limits because of non-universal biometrics attributes, vulnerability to biometric spoofing or lack of accurateness. In this paper, the accuracy problem is addressed through multimodal biometric fusion. Our proposed multimodal biometric fusion methodology offers face and fingerprint as biometric traits as an input for sanctuary purpose that are not unique to each other of the human body. Here, we include Wiener filter for preprocessing phase and Discrete Wavelet Transform (DWT) for the fusion process of the two traits. Also, a linear discriminant regression classification (LDRC) algorithm has been proposed. We propose selective small reconstruction error (SSRE) which helps to select the classes, wherein chances to misclassifies the classes are considered when calculating the between-class reconstruction error (BCRE). After maximizing the ratio of BCRE and within-class reconstruction error (WCRE) an optimum projection matrix is obtained through which a high discrimination value can be achieved for classification. Finally, the experimentations are carried out and our proposed LDRC methodology performance is found better than the existing LRC in terms of accuracy, FAR, FER, EER.

Item Type: Article
Uncontrolled Keywords: Biometric Authentication, Between-Class Reconstruction Error, Discrete Wavelet Transform, Wiener Filter, Within-Class Reconstruction Error
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 16 Sep 2021 10:48
Last Modified: 16 Sep 2021 10:48
URI: http://eprints-bangaloreuniversity.in/id/eprint/9655

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