Abstract
An optical image recognition system based on the mechanism of volume holographic storage and best wavelet packet basis selection is proposed and constructed. Volume holographic associative storage in a photo-refractive crystal has some special properties, which can provide a suitable mechanism to develop an optical correlation system for image recognition. Wavelet packet theory is introduced in this optical system to reduce the number of images stored in the crystal. Through best wavelet packet basis selection, a set of best eigen-images, which will be stored in the crystal as the reference images for recognition, are extracted from a large number of training images. Correlation output between these eigen-images and input ones can be applied for classification and recognition according to the different light intensities of angularly separated beams. Theoretical analysis and experimental results both show this scheme is practical and can significantly reduce the data stored in the crystal while the accurate rate of recognition is still high.
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