Detection of presentation attacks on facial authentication systems using special devices

The article proposes a feature system designed to detect presentation attacks on facial authentication systems. In this type of attack, an attacker disguises as an authorized user using his image. The feature system assumes the possibility of using one or more special imaging sensors in addition to...

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Main Authors: A.Y. Denisova, V.V. Fedoseev
Format: Article
Language:English
Published: Samara National Research University 2022-08-01
Series:Компьютерная оптика
Subjects:
Online Access:https://computeroptics.ru/eng/KO/Annot/KO46-4/460412e.html
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author A.Y. Denisova
V.V. Fedoseev
author_facet A.Y. Denisova
V.V. Fedoseev
author_sort A.Y. Denisova
collection DOAJ
description The article proposes a feature system designed to detect presentation attacks on facial authentication systems. In this type of attack, an attacker disguises as an authorized user using his image. The feature system assumes the possibility of using one or more special imaging sensors in addition to the basic RGB camera (thermal cameras, depth cameras, infrared cameras). The method has demonstrated a low error rate on the WMCA dataset, while experiments have shown its ability to remain effective in the case of the lack of training data. The comparative experiments carried out showed that the proposed method surpassed the RDWT-Haralick-SVM algorithm, and also approached the results of the MC-CNN algorithm, based on deep learning, which requires a significantly larger amount of training data.
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spelling doaj.art-3e0e040d495341608bde1fd41b05a5812023-10-23T12:39:29ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792022-08-0146461262010.18287/2412-6179-CO-1054Detection of presentation attacks on facial authentication systems using special devicesA.Y. Denisova0V.V. Fedoseev1Samara National Research UniversityIPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS; Samara National Research UniversityThe article proposes a feature system designed to detect presentation attacks on facial authentication systems. In this type of attack, an attacker disguises as an authorized user using his image. The feature system assumes the possibility of using one or more special imaging sensors in addition to the basic RGB camera (thermal cameras, depth cameras, infrared cameras). The method has demonstrated a low error rate on the WMCA dataset, while experiments have shown its ability to remain effective in the case of the lack of training data. The comparative experiments carried out showed that the proposed method surpassed the RDWT-Haralick-SVM algorithm, and also approached the results of the MC-CNN algorithm, based on deep learning, which requires a significantly larger amount of training data.https://computeroptics.ru/eng/KO/Annot/KO46-4/460412e.htmlpresentation attackauthenticationface recognitionthermal datadepth data
spellingShingle A.Y. Denisova
V.V. Fedoseev
Detection of presentation attacks on facial authentication systems using special devices
Компьютерная оптика
presentation attack
authentication
face recognition
thermal data
depth data
title Detection of presentation attacks on facial authentication systems using special devices
title_full Detection of presentation attacks on facial authentication systems using special devices
title_fullStr Detection of presentation attacks on facial authentication systems using special devices
title_full_unstemmed Detection of presentation attacks on facial authentication systems using special devices
title_short Detection of presentation attacks on facial authentication systems using special devices
title_sort detection of presentation attacks on facial authentication systems using special devices
topic presentation attack
authentication
face recognition
thermal data
depth data
url https://computeroptics.ru/eng/KO/Annot/KO46-4/460412e.html
work_keys_str_mv AT aydenisova detectionofpresentationattacksonfacialauthenticationsystemsusingspecialdevices
AT vvfedoseev detectionofpresentationattacksonfacialauthenticationsystemsusingspecialdevices