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They suggest that fingerprint readers still need to improve further. "Fingerprint spoof prevention would better be based on intrinsic errors in the spoof-creation process or on fingerprint features not present in latent prints (and become much harder to steal). Examples of such spoof-detection features are air bubbles contained in the glue often used for spoofs and minute details that are visible through a fingerprint sensor but not in a latent print," the researchers write. It suggests that a simple comparison of such air bubbles - which show up in their sensor data as white bubbles, which aren't found with real fingerprints - would "challenge hackers to improve their spoofing techniques". |
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