A comprehensive survey of fingerprint presentation attack detection

Κarampidis, Konstantinos; Rousouliotis, Minas; Linardos, Euangelos; Kavallieratou, Ergina

doi:10.20517/jsss.2021.07

Cited by 20 publications

(10 citation statements)

References 123 publications

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“…In this context, artificial replicas known as Presentation Attack Instruments (PAIs) are utilized to deceive fingerprint capturing devices by mimicking fingerprint characteristics. These replicas can be crafted from a variety of materials such as gelatin, silicone, Body Double, different types of glue, or latex [37][38][39][40]. When targeting contact-based fingerprint capturing devices, it is essential that the PAI replicates the elasticity of real skin.…”

Section: Physical Fingerprint Generationmentioning

confidence: 99%

Toward Synthetic Physical Fingerprint Targets

Ruzicka,

Strobl,

Bergmann

et al. 2024

Sensors

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Biometric fingerprint identification hinges on the reliability of its sensors; however, calibrating and standardizing these sensors poses significant challenges, particularly in regards to repeatability and data diversity. To tackle these issues, we propose methodologies for fabricating synthetic 3D fingerprint targets, or phantoms, that closely emulate real human fingerprints. These phantoms enable the precise evaluation and validation of fingerprint sensors under controlled and repeatable conditions. Our research employs laser engraving, 3D printing, and CNC machining techniques, utilizing different materials. We assess the phantoms’ fidelity to synthetic fingerprint patterns, intra-class variability, and interoperability across different manufacturing methods. The findings demonstrate that a combination of laser engraving or CNC machining with silicone casting produces finger-like phantoms with high accuracy and consistency for rolled fingerprint recordings. For slap recordings, direct laser engraving of flat silicone targets excels, and in the contactless fingerprint sensor setting, 3D printing and silicone filling provide the most favorable attributes. Our work enables a comprehensive, method-independent comparison of various fabrication methodologies, offering a unique perspective on the strengths and weaknesses of each approach. This facilitates a broader understanding of fingerprint recognition system validation and performance assessment.

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Section: Physical Fingerprint Generationmentioning

confidence: 99%

Toward Synthetic Physical Fingerprint Targets

Ruzicka,

Strobl,

Bergmann

et al. 2024

Sensors

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“…2012-2013. For a survey of more recent and advanced methods in the last 10 years we refer the reader to [59,93,49,91], and the ODIN program. 3 merely summarizes some ongoing trends in the development of PADs and some of the main open issues.…”

Section: Early Work In Fingerprint Presentation Attack Detectionmentioning

confidence: 99%

“…"Textural features" above looked as the most promising until the advent of deep learning approaches [49,91]. These, thanks to the increased availability of data sets, allowed the design of a novel generation of fingerprint PAD [94,26,80] which exploited the concept of "patch", a very small portion of the fingerprint image to be processed instead of taking the image as a whole input to the network.…”

Section: Early Work In Fingerprint Presentation Attack Detectionmentioning

confidence: 99%

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Introduction to Presentation Attack Detection in Fingerprint Biometrics

Galbally

Fiérrez

Cappelli

et al. 2023

Advances in Computer Vision and Pattern Recognition

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“…These tests involve performance and presentation attack detection (PAD) testing. The evaluation of PAD can be done through creation of physical fingerprint spoofs based on casting some materials on negative of the fingerprint used as mold [1]. This requires from testing labs to spend considerable time to physically create the presentation attack instruments (PAIs) or spoofs and acquire them with the sensor of the device under test.…”

Section: Introductionmentioning

confidence: 99%

Digitally Synthetized Fingerprint Spoofs: A Threat For Anti-Spoofing Systems?

Wone

Joël²,

Rosenberger

et al. 2022

2022 International Conference on Cyberworlds (CW)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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A comprehensive survey of fingerprint presentation attack detection

Cited by 20 publications

References 123 publications

Toward Synthetic Physical Fingerprint Targets

Toward Synthetic Physical Fingerprint Targets

Introduction to Presentation Attack Detection in Fingerprint Biometrics

Digitally Synthetized Fingerprint Spoofs: A Threat For Anti-Spoofing Systems?

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