Implementation of real-time human face recognition

Haisong Liu; Minxian Wu; Gang Cheng; Guofan Jin; ShiFu Yuan; Yingbai Yan

doi:10.1117/12.279453

24 October 1997 Implementation of real-time human face recognition

Haisong Liu, Minxian Wu, Gang Cheng, Guofan Jin, ShiFu Yuan, Yingbai Yan

Proceedings Volume 3159, Algorithms, Devices, and Systems for Optical Information Processing; (1997) https://doi.org/10.1117/12.279453
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Haisong Liu, Minxian Wu, Gang Cheng, Guofan Jin, ShiFu Yuan, and Yingbai Yan "Implementation of real-time human face recognition", Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); https://doi.org/10.1117/12.279453

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