In this paper, we perform multi-resolution analysis by using Wavelet transform for the components of surface reflection on faces in order to acquire features of wrinkles and fine asperities on the face. Also, by applying principal component analysis to the acquired trend of the wrinkles and the fine asperities, we analyze the relationship between the distribution of wrinkles and asperities, and actual age statistically. In the previous researches, components of facial surface reflection were directly used for multiresolution analysis, and it is considered that the acquired relationship was dependent on the luminance unevenness of lighting on the face. In this research, therefore, we propose to remove the luminance unevenness of the lighting on the face is transformed into uniform distribution by signal processing, and it contributes to the appropriate analysis to the component of surface reflection on the face.