Local feature encoding for unknown presentation attack detection: An analysis of different local feature descriptors

Local feature encoding for unknown presentation attack detection: An analysis of different local feature descriptors

Abstract In spite of the advantages of using fingerprints for subject authentication, several works have shown that fingerprint recognition systems can be easily circumvented by means of artificial fingerprints or presentation attack instruments (PAIs). In order to address that threat, the existing...

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Bibliographic Details
Main Authors: Lázaro J. González‐Soler, Marta Gomez‐Barrero, Jascha Kolberg, Leonardo Chang, Airel Pérez‐Suárez, Christoph Busch
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:IET Biometrics
Subjects:
authorisation
computer crime
feature extraction
fingerprint identification
image classification
vectors
Online Access:https://doi.org/10.1049/bme2.12023
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https://doi.org/10.1049/bme2.12023

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