Modern access controls employ biometrics as a means of authentication to a great extent. For example, biometrics is used as an authentication mechanism implemented on commercial devices such as smartphones and laptops. This paper presents a fingerprint biometric cryptosystem based on the fuzzy commitment scheme and convolutional neural networks. One of its main contributions is a novel approach to automatic discretization of fingerprint texture descriptors, entirely based on a convolutional neural network, and designed to generate fixed-length templates. By converting templates into the binary domain, we developed the biometric cryptosystem that can be used in key-release systems or as a template protection mechanism in fingerprint matching biometric systems. The problem of biometric data variability is marginalized by applying the secure block-level Bose–Chaudhuri–Hocquenghem error correction codes, resistant to statistical-based attacks. The evaluation shows significant performance gains when compared to other texture-based fingerprint matching and biometric cryptosystems.
U cilju ostvarivanja visokog nivoa zaštite biometrijskih podataka otisaka prstiju u homomorfnim šifarskim sistemima, od presudne važnosti je transformacija obeležja otisaka prstiju u vektorski opis fiksne dužine. Osim toga, tako generisan metrički prostor mora biti snabdeven Hemingovom metrikom. Uobičajeno je da se ovakav opis biometrijskih karakteristika naziva XOR biometrija. Ovi zahtevi eleminišu sve do sada korišćene sisteme za prepoznavanje otisaka prstiju zasnovanih na minucijama. U ovom radu predložen je jedan sistem generisanja XOR biometrije otisaka prstiju, zasnovan na banci Gaborovih filtara različitih prostornih radijalnih uglova. Rezultujuća binarna reprezentacija fiksne dužine, testirana je u scenariju autentifikacije sa pridruženim mehanizmom izdavajanja asociranih kriptoloških ključeva, zasnovanim na principima kodova za ispravljanje grešaka. Početni eksperimentalni rezultati potvrđuju perspektivnost predloženog pristupa i otvaraju mogućnost daljeg unapređenja performansi.
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