A Multi View Face Recognizer for Authentication?

One emerging technology that is becoming more spread in a variety of organizations is biometrics. The term `biometrics’ comes from the Greek words bios (Life) and metrikos (Measure).To make a personal recognition, biometrics relies on who you are or what you do--as opposed to what you know (such as password) or what you have (such as ID card).Biometric systems, which use people’s physiological characteristics for identification or authentication, have become increasingly popular for countering fraud. Biometrics offers greater security and convenience than traditional methods of personal recognition. Biometrics is used for many applications inside and outside the scope of computer security. In some applications, biometrics can replace or supplement the existing technology. In this paper, we describe a face recognition system that uses a new distance measure (Significance-based Multi View Hausdorff Distance) for authentication. It performs matching on a fusion of multiple views of each person’s face. We have also analysed the performance of the system and listed out the areas where it can be applied.