Abstract
Recently, human verification methods which use physical characteristics (biometrics) capture public attention. Face verification is one method. Main stream face verification methods used 2-D information such as light and shade images and contour images. But it couldn't get satisfactory verification rate if much constraint wasn' t put on users in the case of the data acquisition because they were poor against changes in illumination surroundings and the correction of the face direction couldn' t be done. Therefore, we propose 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.
