A Comprehensive Review on Face Recognition Methods and Factors Affecting Facial Recognition Accuracy

Abstract

Biometrics is one of the most promising technologies for providing secure authentication in modern computing applications and eradicates the issues associated with the traditional authentication systems. Almost 50% of the security infrastructure comprises fingerprint biometric. As the market share of fingerprints is increasing tremendously, its security is becoming a challenge for research community. In this paper, a brief review of different fingerprint template security schemes has been presented. Moreover, various masquerade attacks on fingerprint template have been studied and their countermeasures are presented. A comparative analysis of different template security schemes based on different performance metrics like FAR, FRR, and EER is also provided. It was seen that the methods employed for fingerprint may not work for other biometric traits like iris, face, etc., because of their difference in dimensions of templates. This paper allows to find the research gaps in the existing template security algorithms and suggests further development in the field of biometric template protection.