In this paper, a novel method of Regional Facial Geometric Feature Recognition (RFGFR) is presented. With the development of biometrics technology, the recognition of human-face becomes the most acceptant way of identification. Based on the consideration that China is such a country with expansive regions, numerous peoples and different facial geometric structures and features, the six geographic regions based on facial geometric features have been classified according to China Administrative District. The 300 front face images of the Han nationality in the classified six regions have been sampled and registered into a face image gallery through a 3-D digital camera system. Subsequently, some geometric features (distance between two pupils, ratio of distance between two inner canthi to distance between two pupils and etc.) have been extracted and used as the facial feature recognition parameters. Furthermore, through lots of recognition experiments, we found that the Han people in different regions have different facial features to some extent. As a result, the feasibility and reliability of the RFGFR method are finally verified.