Abstract
In this face recognition research, the head is fixed when a photograph is taken. The infrared diodes provide the only illumination. In front of the CCD camera, a light filter lens is used to filter all other light. After the photograph is taken, the eyebrows, eyes, nostrils, lips, and face contour are extracted separately. The shape, size, object-to-object distance, center and orientation are found for each extracted object. The techniques to solve the object shifting and rotating problems are investigated. Image subtraction is used to examine the geometric differences of the two different faces. The obtained classifying data in this research can accurately classify different people's faces.
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Su, CL. Face Recognition by Using Feature Orientation and Feature Geometry Matching. Journal of Intelligent and Robotic Systems 28, 159–169 (2000). https://doi.org/10.1023/A:1008197100104
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DOI: https://doi.org/10.1023/A:1008197100104