Face Tampering Detection from Single Face Image using Gradient Method

An effective novel approach of detection and classification of real face image from tampered face image based on second order gradient is proposed in this paper. The intended purpose of proposed approach is to endorse the biometric authentication, by joining the vitality awareness with Facial Recognition Technology (FRT). The proposed method requires only one face image without requirement of additional equipment and easier to implement into existing face recognition technique. For this purpose, real (from own database and some publically available standard database) and tampered (own prepared databases of dummy, color imposed and masked faces) face image database are used here for verification and validation of our assertion. The technique is novel technique and obtained results are initial results which are obtained after applying gradient method and demonstrate that the methodology is very well suited for the discrimination of image of tampered face from the image of real face with accuracy ranges 82.7% 91.7%. This reliable way to detect the mala-fide attack is needed to robustness of the system and it will be able to solve very big real problems of the society when induced in automatic authentication system.