Abstract
Recently, human verification methods which use physical characteristics (biometrics) command public attention. The face verification is the one method. The usual face verification methods used the 2-D information such as light and shade image and contour image as a main stream. But it couldn’t get satisfactory verification rate if much constraint wasn’t put on users in the case of the data acquisition. And because they were poor at change in illumination surroundings and the correction of the face direction couldn’t be done. Therefore, we proposed a method which measures the 3-D face shape by light-section method and corrects direction of the 3-D face shape information. Then it verifies by using feature quantity that normal vector on the surface of the face is expressed as a complex number. In this paper, detail of the proposed method and result of the verification experiment to discuss effectiveness of the method are shown.
