Optical image recognition using volume-holographic-storage-based photorefractive correlator

Haisong Liu; Minxian Wu; Guofan Jin; Qingsheng He; Yingbai Yan

doi:10.1117/12.364002

1 October 1999 Optical image recognition using volume-holographic-storage-based photorefractive correlator

Haisong Liu, Minxian Wu, Guofan Jin, Qingsheng He, Yingbai Yan

Proceedings Volume 3805, Photonic Devices and Algorithms for Computing; (1999) https://doi.org/10.1117/12.364002
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Haisong Liu, Minxian Wu, Guofan Jin, Qingsheng He, and Yingbai Yan "Optical image recognition using volume-holographic-storage-based photorefractive correlator", Proc. SPIE 3805, Photonic Devices and Algorithms for Computing, (1 October 1999); https://doi.org/10.1117/12.364002

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