Abstract
According to progress of information society, the importance of personal authentication is growing by leaps and bounds. Because it dose not require a specific act or behavior, facial recognition is the focus of attention than other biometric identifications. The purpose of this reserch is method of extracting feature values of a human face by using Kinect sensor that is relatively inexpensive compared to the other depth cameras. And examine Kinect sensor whether the effective device for facial recognition system. In this paper,compared Neural Network, Support Vector Machine, Bayesian Network as a decision algorithm of the individual. From experimental results using still images of 10 subjects, relevance ratio of Neural Network showed the highest rate 95.6%,and considered the this method and the results.
