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Compact binary codes can in general improve the speed of searches in large-scale applications. Although fingerprint retrieval was studied extensively with real-valued features, only few strategies are available for search in Hamming space. In this paper, we propose a theoretical framework for systematically learning compact binary hash codes and develop an integrative approach to hash-based fingerprint...
Identity management has become increasingly more difficult with biometric big data. Hash-based indexing methods are promising for efficient searches in the high-dimensional space. Geometric hashing is one of the popular methods and has seen many of its variants proposed in the literature for fingerprint identification. Most of them use the same real-valued measures of local geometric invariants for...
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