Implementation of real-time human face recognition
Haisong Liu, Minxian Wu, Gang Cheng, Guofan Jin, Shifu Yuan, Yingbai Yan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
In this paper, an optical processor for real-time human face recognition is presented. This processor is based on the method of modified complementary encoding hit-miss morphological transform, which combines the foreground and background of an image into a whole. The processor makes use of an incoherent correlator for optical implementation of hit-miss transform in one step and only one commercially available liquid crystal display panel as two real-time SLMs for both input face image and matched face image. The experiment result have shown that the processor has a recognition speed of 10 frames per second, accuracy over 90 percent and error tolerance to distortion-variance within 8 degrees, noise disturbance up to 25 percent and image losing up to 50 percent. The processor has potential applications on real- time human face recognition in customs, banks and stores for security.