Ranking-Based Locality Sensitive Hashing-Enabled Cancelable Biometrics: Index-of-Max Hashing
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DOI: 10.1109/tifs.2017.2753172
Abstract: In this paper, we propose a ranking-based locality sensitive hashing inspired two-factor cancelable biometrics, dubbed “Index-of-Max” (IoM) hashing for biometric template protection. With externally generated random parameters, IoM hashing transforms a real-valued biometric feature vector… read more here.
Keywords: ranking based; index max; biometrics; iom hashing ... See more keywords