Translation Based Face Recognition Using Fusion of LL and SV Coefficients

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Sujathaa, B.M. and Venukumarb, B.V. and Chetan Tippanna Madiwalarb, . and Abidali Munnab,, N.C. and Suresh Babub, K. and Rajab, K.B. and Venugopalb, K.R. (2016) Translation Based Face Recognition Using Fusion of LL and SV Coefficients. Procedia Computer Science, 89. pp. 877-886. ISSN 1877-0509

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Official URL: https://doi.org/10.1016/j.procs.2016.06.077

Abstract

The face is a physiological trait used to identify a person effectively for various biometric applications. In this paper we propose Translation based Face Recognition using Fusion of LL and SV coefficients. The novel concept of translating many sample images of a single person into one sample per person is introduced. The face database images are preprocessed using Gaussian filter and DWT to generate LL coefficients. The support vectors (SV) are obtained from support vector machine (SVM) for LL coefficients. The LL and SVs are fused using arithmetic addition to generate final features. The face database and test face image features are compared using Euclidean Distance (ED) to compute the performance parameters. ©

Item Type: Article
Uncontrolled Keywords: Biometrics; Discrete Wavelet Transform (DWT); Face Recognition (FR); Fusion; Support Vector Machine (SVM)
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: Mr. Vasu K
Date Deposited: 17 Oct 2016 07:26
Last Modified: 17 Oct 2016 07:26
URI: http://eprints-bangaloreuniversity.in/id/eprint/6434

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