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The proliferation of digital images creates problems for managing large image databases, indexing individual images, and protecting intellectual property. This paper introduces a novel image indexing technique that may be called an image hash function. The algorithm uses randomized signal processing strategies for a non-reversible compression of images into random binary strings, and is shown to be robust against image changes due to compression, geometric distortions, and other attacks. Thisdoi:10.1109/icip.2000.899541 dblp:conf/icip/VenkatesanKJM00 fatcat:jnsiridduvegvl2xs4kjy3ioma