Biometrics deals with identifying individuals with the help of their biological (physiological and behavioral) data. The security of biometric systems has however been questioned and previous studies have shown that they can be fooled with artificial artifacts. Also biometric recognition systems face challenges arising from intra-class variations and attacks upon template databases. To tackle such problems, a hybrid approach for liveness detection and protecting templates in face recognition system is proposed. Here, the system captures input face image in three different poses (left, front, right) based upon the order chosen by the random select module.