Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
