Recent survey on face biometric classification success rates

Abstract

Biometric system is a system for the automated recognition of individuals based on their behavioral or biological characteristics. Biometrics are evolving drastically especially nowadays whereby there are many types of biometrics, which includes fingerprint or face pattern, and/or some aspect of behavior, such as the spoken voice, handwriting, or keystroke patterns. From all those biometric system stated the face biometric system is the most users friendly and most nonintrusive. In face biometrics, there are two types, which are in two dimensional and three dimensional recognitions. The 2D typed biometrics system is widely used, but for 3D typed biometrics is not very common but it offers more benefits than 2D. The limitation of 3D research is resulting from only few databases can be found for 3D biometrics system. The classification techniques and their success rate also been discussed in both 2D and 3D face recognition. More future work will be developed to improve the face recognition system especially in 3D recognition. This paper has discussed more on 3D face recognition which promises better future in biometrics.