Abstract: - recent decades, we've witnessed the evolution of biometric technology from the primary pioneering works in
face and voice recognition to the present state of development wherein a good spectrum of highly accurate systems could
also be found, starting from largely deployed modalities, like fingerprint, face, or iris, to more marginal ones, like
signature or hand. This path of technological evolution has Naturally led to a critical issue that has only began to be
addressed recently: the resistance of this rapidly emerging technology to external attacks and, especially, to spoofing.
Spoofing, mentioned by the term presentation attack in current standards, may be a purely biometric vulnerability that's
not shared with other IT security solutions. It refers to the ability to fool a biometric system into recognizing an illegitimate
user as a genuine one by means of presenting a synthetic forged version of the original biometric trait to the sensor. The
entire biometric community, including researchers, developers, standardizing bodies, and vendors, has thrown itself into
the challenging task of proposing and developing efficient protection methods against this threat. The goal of this paper is
to supply a comprehensive overview on the work that has been administered over the last decade within the emerging field
of anti- spoofing, with special attention to the mature and largely deployed face modality. The work covers theories,
methodologies, state-of-the-art techniques, and evaluation databases and also aims at providing an outlook into the longer
term of this very active field of research.
Keywords- Biometric, Vulnerability, Attacks, Counter measures, Eigen face Algorithm, Spoofing, Raspberry pi, OpenCV, Python