Real-Time Face Liveness Detection and Face Anti-spoofing Using Deep Learning

Anti-spoofing, Face

Face Liveness Detection Using Defocus

In order to develop security systems for identity authentication, face recognition (FR) technology has been applied. One of the main problems of applying FR technology is that the systems are especially vulnerable to attacks with spoofing faces (e.g., 2D pictures). To defend from these attacks and to enhance the reliability of FR systems, many anti-spoofing approaches have been recently develop...

A Novel Approach For Face Liveness Detection To Avoid Face Spoofing Attacks

IJSER © 2016 http://www.ijser.org A Novel Approach For Face Liveness Detection To Avoid Face Spoofing Attacks Meenakshi Research Scholar, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra-136119 Email: [email protected] Dr. Chander Kant Assistant Professor, Department of Computer Science & Applications, Kurukshetra University, Kurukshetra-136119 Email: c...

Face Liveness Detection

Face spoofing is considered to be one of the prominent threats to face recognition systems. However, in order to improve the security measures of such biometric systems against deliberate spoof attacks, liveness detection has received significant recent attention from researchers. For this purpose, analysis of facial skin texture properties becomes more popular because of its limited resource r...

Face Spoofing Detection Using Image Distortion Features

Accurate biometric system for authentication is the need of the hour in today’s scenario. In face spoofing attack a person tries to pretend to be a valid user by using photo or video of an authorized person and gets illegitimate access. Hence it is essential to develop a robust and authentic face spoof detection system in order to protect the privacy about the person. Centre of attraction of th...