Novel method of regional facial geometric feature recognition to Chinese human face

Weiguo Gong; Jiamin Liu; Weihong Li; Yingjun Pan; Hongmei Zhang

doi:10.1117/12.484383

16 July 2003 Novel method of regional facial geometric feature recognition to Chinese human face

Weiguo Gong, Jiamin Liu, Weihong Li, Yingjun Pan, Hongmei Zhang

Proceedings Volume 5048, Nondestructive Detection and Measurement for Homeland Security; (2003) https://doi.org/10.1117/12.484383
Event: NDE for Health Monitoring and Diagnostics, 2003, San Diego, California, United States

Abstract

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.

Citation Download Citation

Weiguo Gong, Jiamin Liu, Weihong Li, Yingjun Pan, and Hongmei Zhang "Novel method of regional facial geometric feature recognition to Chinese human face", Proc. SPIE 5048, Nondestructive Detection and Measurement for Homeland Security, (16 July 2003); https://doi.org/10.1117/12.484383

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KEYWORDS

Facial recognition systems

Mouth

Feature extraction

Nose

Digital cameras

Imaging systems

Biometrics

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