• Priyanka Sharma
• Ms. Neha Chauhan

The number of algorithm are used to do image processing on any image i.e. digital is known digital image processing. Face can be identified and detected as a known face or unknown, this task is known as face recognition. Many improvement has been compassed in face recognition but it still suffers from various types of attacks like 3d mask and video attacks like 3D mask and video, replay attack, photo attack. Because of these attacks system should require a face spoof detection. The detection of spoofed face, when a forgery face is introduce in front of camcorder is called face spoof detection. In today’s world face recognition method is used to validate the face like for unlocking mobile phone, banking, attendance tracking and providing access to the services but some interrupter use various conspiracy to crack the authentication system by presenting the artificial face in front of authenticating system from face spoof attack. The various attack on image can be receive by some feature eradication and allocation techniques like SVM, KNN, Decision Tree, ANN, LBP, LDA, PCA etc.

Face recognition, Face detection, Biometric system, Digital image processing

"Face Spoof Detection Techniques to Differentiate Spoofed and Non Spoofed Faces: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.736-740, June 2019, Available :http://www.jetir.org/papers/JETIR1907S15.pdf

"Face Spoof Detection Techniques to Differentiate Spoofed and Non Spoofed Faces: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp736-740, June 2019, Available at : http://www.jetir.org/papers/JETIR1907S15.pdf