Face recognition by using feature orientation and feature geometry matching

In this face recognition research, the head is fixed when a photograph is t aken. The infrared diodes provide the only illumination. In front of the CC D 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 a re extracted separately. The shape, size, object-to-object distance, center and orientation are found for each extracted object. The techniques to sol ve the object shifting and rotating problems are investigated. Image subtra ction is used to examine the geometric differences of the two different fac es. The obtained classifying data in this research can accurately classify different people's faces.