Face Recognition Based on Logarithmic Fusion of SVD and KT
The identification of a person based on biometric is accurate and robust compared to traditional methods of identifying a person using PIN, ID cards, etc. In this paper Face Recognition based on Logarithmic Fusion of SVD and KT (FRLSK) is proposed. The Singular Value Decomposition (SVD) is applied on face images to derive Co-efficients. The Co-efficient Matrix of SVD are resized to 64x64 to form features. The test image SVD features are compared with SVD feature of database images using Euclidian distance, Equal Error Rate (EER) and Total Success Rate are computed (TSR).