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Proceedings Paper

Implementation of real-time human face recognition
Author(s): Haisong Liu; Minxian Wu; Gang Cheng; Guofan Jin; ShiFu Yuan; Yingbai Yan
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Paper 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.

Paper Details

Date Published: 24 October 1997
PDF: 8 pages
Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); doi: 10.1117/12.279453
Show Author Affiliations
Haisong Liu, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)
Gang Cheng, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
ShiFu Yuan, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 3159:
Algorithms, Devices, and Systems for Optical Information Processing
Bahram Javidi; Demetri Psaltis, Editor(s)

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