Developing a Novel Technique for Face Liveness Detection

Face recognition is an important tool in identifying a person. Due to existence of non-real faces, Spoofing attack weakens the Face Recognition process, which can be overcome byLiveness Detection. There are three approaches to perform liveness detection: by challenge and response based liveness detection technique, by face texture liveness detection and by joining two or more biometrics liveness detection. The existing techniques fail to give good results for Face Liveness Detection under unconstrained environment. Hence we have proposed Face Liveness Detection based on Image Quality Assessment (IQA) parameters. The proposed system is validated on a database having 70 images which are taken under unconstrained environment.