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We propose three methods to derive longer fingerprints from features using projection based hashing methods. For this class of hashing methods, a feature matrix is projected onto a set of projection matrices. Then, the projected values are compared to a threshold to derive the hash bits. The methods proposed in this paper reduce the increase in average number of collisions per hour of content in the...
In this paper, we study the collision property of one of the robust hash functions proposed. This method was originally proposed for robust hash generation from blocks of image data and is based on projection of image block data on pseudo-random matrices. We show that collision performance of this robust hash function is not optimal when used to extract hash bits from a moment invariants feature matrix...
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