Please use this identifier to cite or link to this item: http://13.232.72.61:8080/jspui/handle/123456789/994
Title: Translation based Face Recognition using Fusion of LL and SV Coefficients
Authors: Sujathaa, B. M.
Venukumar, B. V.
Madiwalar, Chetan Tippanna
Munna, N. C. Abidali
Babu, K. Suresh
Raja, K. B.
Venugopal, K. R.
Keywords: Electronics Engineering
Communication
Biometrics
Face recognition
Fusion; Support Vector Machine(SVM).
Issue Date: 2016
Publisher: Elsevier Ltd
Citation: Sujatha, B. M., Venukumar, B. V., Madiwalar, C. T., Munna, N. A., Babu, K. S., Raja, K. B., & Venugopal, K. R. (2016). Translation based Face Recognition using Fusion of LL and SV Coefficients. Procedia Computer Science: Twelfth International Multi-Conference on Information Processing-2016 (IMCIP-2016)(pp. 877-886). Elsevier
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.
URI: http://13.232.72.61:8080/jspui/handle/123456789/994
Appears in Collections:Conference Proceedings

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