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Proceedings Paper

Optical image recognition using volume-holographic-storage-based photorefractive correlator
Author(s): Haisong Liu; Minxian Wu; Guofan Jin; Qingsheng He; Yingbai Yan
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Paper Abstract

The discriminating ability of the conventional photorefractive correlator is not very satisfactory because the light intensity difference between the correlation beams is not always distinct enough for evaluation. In this paper, we apply the statistical pattern recognition method to the photorefractive correlator to overcome this difficulty. The difference between the method of this paper and the conventional method is that the reference images used to correlate with the input image to be recognized are not the database images, but the eigenimages extracted from the set of training dataset. Since all the cross-correlation results can be collected to form a feature vector for recognition, this method avoids the difficulty mentioned above. In addition, since the number of the eigenimages is much less than the training images, the processing speed can be greatly improved. Furthermore, because the images in the training dataset can be selected to representing some typical distortions, the processor can deal with the distortions to a large extent.

Paper Details

Date Published: 1 October 1999
PDF: 8 pages
Proc. SPIE 3805, Photonic Devices and Algorithms for Computing, (1 October 1999); doi: 10.1117/12.364002
Show Author Affiliations
Haisong Liu, Tsinghua Univ. (United States)
Minxian Wu, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Qingsheng He, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 3805:
Photonic Devices and Algorithms for Computing
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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