Abstract
This research features a real-time face detection and recognition system named PrimeEye. The purpose of the system is for access control to a building or an office. The main feature of the system is face detection and face recognition robust to illumination changes. A simple adaptive thresholding technique for skin color segmentation is employed to achieve robust face detection. The system is also capable of operating in two different modes for face recognition: under normal illumination condition and under severe illumination changes. The experimental results show that the SKKUfaces method is better than the Fisherfaces method in the case of severe illumination changes. In the normal illumination condition, the Fisherfaces method is better than the SKKUfaces method.KeywordsFace RecognitionFacial ImageFace DetectionFace RegionIllumination ChangeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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