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Toward Synthetic Physical Fingerprint Targets. [PDF]

open access: yesSensors (Basel)
Ruzicka L   +9 more
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Unveiling intra-person fingerprint similarity via deep contrastive learning. [PDF]

open access: yesSci Adv
Guo G   +5 more
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Can We Distinguish Genuine Minutiae from Imposter Minutiae

2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2020
we propose a novel method to differentiate genuine minutiae from impostor minutiae of an enhanced latent fingerprint. Because poor-quality latent fingerprints are deposited on uncontrolled backgrounds with noises, the imposter minutiae are incorrectly detected by a conventional fingerprint enhancement process.
Krisada Phromsuthirak, Vutipong Areekul
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