Face recognition using extended LBP features and multilevel SVM classifier
S Sujay, H S Manjunatha Reddy, J Ravi · 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) · 2017
The Face recognition technique is one of the prominent methods to recognize the person. Since face is a unique biometric of the individual and face recognition is the superior identification method. This paper proposes a novel method for Face recognition by using features of extended LBP. The LBP is applied to each 3×3 matrix obtained from detected face through Viola-Jones algorithm to get the features. The Face image is rotated for 15 different angles and LBP Features are taken, then SVM is used for classification for FERET and Yale face database. The parameters such as FAR, FRR, TSR and EER are measured.