형판정합기반 영상 정규화를 통한 고유얼굴(Eigenface)알고리즘 성능개선 방법 = An Improvement of Eigenface Algorithm based on Image Normalization by Template Matching

다국어 초록 (Multilingual Abstract)

A new approach for face recognition is proposed. Our method adopts the Eigenface algorithm as the main classifier, but improves performance by normalizing input images based on template matching technique. Firstly, the two eye regions are evaluated by template matching with a set of ordinary eye templates. The scale and rotation factors are estimated based on the distance and angle between left and right eyes, and we generate a normalized face of the input image, and finally, it is provided as the input of the Eigenface algorithm. Since, Eigenface is a good recognition method but is vulnerable to image variations such as rotation and illumination conditions, our face normalization approach could be very effective.