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May 14, 2017 · In Table 2, the FAR (False acceptance Rate) is the rate of wrong recognition of fake fingerprints as real fingerprints and the FRR (False ...
Oct 22, 2024 · In this paper, a fake fingerprint detection method is proposed that employs combinations of six simple statistical moment features. These ...
Oct 22, 2024 · In this paper, a fake fingerprint detection method is proposed that employs combinations of six simple statistical moment features. These ...
A fake fingerprint is an artificial finger that is used to fool a detection system. ... eleven statistical data to be used as the features of a fake fingerprint.
In the present study, a new fake fingerprint detection method implemented through the combinations of six simple statistical moment features is proposed. The ...
In this paper, a fake fingerprint detection method is proposed that employs combinations of six simple statistical moment features. These features are deviation ...
The fake or artificial finger is used for direct attack. The artificial finger is divided into two types which are cooperative and non-cooperative. In the ...
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Abstract: Recently, attempts at spoofing biometric fingerprint recognition systems through fake fingerprints have been frequently reported.
This study proposes a patch-based fake fingerprint– detection method using a fully convolutional neural network with a small number of parameters and an optimal ...
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Artificial fingerprints in Biometrika and Italdata have been created without user assistance, while fake ones in CrossMatch were created by user cooperation.
Missing: Moments. | Show results with:Moments.