Fake Face Database and Pre- Processing

Face plays an ethical role in human interaction compared to other biometrics. It is most popular non-intrusive and non-invasive biometrics whose image can easily be snapped without user co-operation. That is why; criminals and imposters always try to tamper their facial identity. Therefore, face tampering detection is one of the most important bottlenecks for security, commercial and industrial orbit. Face tampering detection is one of the most important bottlenecks for security, commercial and industrial orbit. In particular, few researchers have addressed the challenges for the disguise detection but inadequacy is benchmark database in public domain. This paper addresses these problems by preparing of three category of tampered face database within the framework of FRT (Facial Recognition Technology) and evaluates the performance of this database on face recognition algorithms. These categories of database are dummy, colour imposed and masked face.