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Optical Engineering

Real-time optoelectronic morphological processor for human face recognition
Author(s): Haisong Liu; Minxian Wu; Guofan Jin; Gang Cheng; Qingsheng He
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Paper Abstract

Many commercial and law enforcement applications of face recognition need to be high-speed and real-time, such as passing through customs quickly while ensuring security. However, face recognition by using computers only is time-consuming due to the intensive calculation task. Recently optical implementations of real-time face recognition have attracted much attention. In this paper, a real-time optoelectronic morphological processor for face recognition is presented. It is based on original-complementary composite encoding hit-or-miss transformation, which combines the foreground and background of an image into a whole. One liquid-crystal display (LCD) panel is used as two realtime SLMs for both stored images and face images to be recognized, which are of 256x3256 pixels. A speed of 40 frames/s and four-channel recognition ability have been achieved. The experimental results have shown that the processor has an accuracy over 90% and error tolerance to rotation up to 8 deg, to noise disturbance up to 25%, and to image loss up to 40%.

Paper Details

Date Published: 1 January 1998
PDF: 7 pages
Opt. Eng. 37(1) doi: 10.1117/1.601842
Published in: Optical Engineering Volume 37, Issue 1
Show Author Affiliations
Haisong Liu, Tsinghua Univ. (United States)
Minxian Wu, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Gang Cheng, Tsinghua Univ. (United States)
Qingsheng He, Tsinghua Univ. (China)


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