Abstract
In this paper, we propose a method for personal identification using facial features and context information. The method can overcome a problem of partially occluded images. In the proposal method, facial similarity is calculated by using CLAFIC method from the full image of face and the parts of face image, such as the image of eyes. Moreover, we focus on clothes of each target person as the context information. In this method, the similarity of clothes is calculated by using four features. Then, from the two similarities, the person in the input image can be identified. In the experiments, it can be confirmed that proposal method is better than the method using only the face image similarity.
