期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：6
页码：11727
DOI：10.15680/IJIRCCE.2017.0506127
出版社：S&S Publications
摘要：A spoofing attack is a situation in which one person successfully masquerades as another by falsifyingdata and thereby gaining illegitimate access .Face recognition is a widely used biometric approach in recent years. Facebiometric systems are vulnerable to spoofing attack. Spoofing attacks are of several types such as photograph, video ormask. A easier technique to bypass face recognition systems is to use photographs of spoofed identity. Various countermeasures are present and good results have been reported on the publicly available databases. Facial image textures areused for detecting whether there is a live person in front of camera or a face print. Anti-spoofing technique based onmotion analysis is used to measure the correlations between the client head movements and the background scene.Liveness detection techniques try to capture signs of life from the image by analyzing spontaneous movements whichcan’t be detected in photographs. In this content, study of spoofing attacks, anti-spoofing techniques and databases usedfor anti-spoofing is done.
