Face recognition by using feature position extraction and feature geometry comparison

Ching-Liang Su

doi:10.1117/12.402524

6 October 2000 Face recognition by using feature position extraction and feature geometry comparison

Ching-Liang Su

Proceedings Volume 4212, Reconfigurable Technology: FPGAs for Computing and Applications II; (2000) https://doi.org/10.1117/12.402524
Event: Information Technologies 2000, 2000, Boston, MA, United States

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.

Citation Download Citation

Ching-Liang Su "Face recognition by using feature position extraction and feature geometry comparison", Proc. SPIE 4212, Reconfigurable Technology: FPGAs for Computing and Applications II, (6 October 2000); https://doi.org/10.1117/12.402524

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