Face Spoofing Attacks Detection in Biometric System

Biometric system have evolved very well in last few years and in this digital era secure automatic solution for face spoofing is needed. Combining existing anti-spoofing approaches to come up with more robust mechanism is needed for preventing system from various spoofing types. In this paper, detecting face from image and extracting data from it and then optimizing that information with dataset rich network makes a reliable face spoofing attack detecting methodology. Proposed methodology can be used in various biometric systems suited with face detection mechanism. Simple execution with available resolution image and minimum use of extra hardware makes proposed methodology works for making biometric system more secure.