Directed Gaze Trajectories for Biometric Presentation Attack Detection
Presentation attack artefacts can be used to subvert the operation of biometric systems by being presented to the sensors of such systems. In this work, we propose the use of visual stimuli with randomised trajectories to stimulate eye movements for the detection of such spoofing attacks. The presen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/4/1394 |
| _version_ | 1797396250691108864 |
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| author | Asad Ali Sanaul Hoque Farzin Deravi |
| author_facet | Asad Ali Sanaul Hoque Farzin Deravi |
| author_sort | Asad Ali |
| collection | DOAJ |
| description | Presentation attack artefacts can be used to subvert the operation of biometric systems by being presented to the sensors of such systems. In this work, we propose the use of visual stimuli with randomised trajectories to stimulate eye movements for the detection of such spoofing attacks. The presentation of a moving visual challenge is used to ensure that some pupillary motion is stimulated and then captured with a camera. Various types of challenge trajectories are explored on different planar geometries representing prospective devices where the challenge could be presented to users. To evaluate the system, photo, 2D mask and 3D mask attack artefacts were used and pupillary movement data were captured from 80 volunteers performing genuine and spoofing attempts. The results support the potential of the proposed features for the detection of biometric presentation attacks. |
| first_indexed | 2024-03-09T00:48:38Z |
| format | Article |
| id | doaj.art-72e50031e0ad44c7be0fa5650af0bf81 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T00:48:38Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-72e50031e0ad44c7be0fa5650af0bf812023-12-11T17:21:42ZengMDPI AGSensors1424-82202021-02-01214139410.3390/s21041394Directed Gaze Trajectories for Biometric Presentation Attack DetectionAsad Ali0Sanaul Hoque1Farzin Deravi2School of Engineering and Digital Arts, University of Kent, Canterbury CT2 7NT, UKSchool of Engineering and Digital Arts, University of Kent, Canterbury CT2 7NT, UKSchool of Engineering and Digital Arts, University of Kent, Canterbury CT2 7NT, UKPresentation attack artefacts can be used to subvert the operation of biometric systems by being presented to the sensors of such systems. In this work, we propose the use of visual stimuli with randomised trajectories to stimulate eye movements for the detection of such spoofing attacks. The presentation of a moving visual challenge is used to ensure that some pupillary motion is stimulated and then captured with a camera. Various types of challenge trajectories are explored on different planar geometries representing prospective devices where the challenge could be presented to users. To evaluate the system, photo, 2D mask and 3D mask attack artefacts were used and pupillary movement data were captured from 80 volunteers performing genuine and spoofing attempts. The results support the potential of the proposed features for the detection of biometric presentation attacks.https://www.mdpi.com/1424-8220/21/4/1394biometricsface recognitionpresentation attack detectionsensor-level spoofinggaze tracking |
| spellingShingle | Asad Ali Sanaul Hoque Farzin Deravi Directed Gaze Trajectories for Biometric Presentation Attack Detection Sensors biometrics face recognition presentation attack detection sensor-level spoofing gaze tracking |
| title | Directed Gaze Trajectories for Biometric Presentation Attack Detection |
| title_full | Directed Gaze Trajectories for Biometric Presentation Attack Detection |
| title_fullStr | Directed Gaze Trajectories for Biometric Presentation Attack Detection |
| title_full_unstemmed | Directed Gaze Trajectories for Biometric Presentation Attack Detection |
| title_short | Directed Gaze Trajectories for Biometric Presentation Attack Detection |
| title_sort | directed gaze trajectories for biometric presentation attack detection |
| topic | biometrics face recognition presentation attack detection sensor-level spoofing gaze tracking |
| url | https://www.mdpi.com/1424-8220/21/4/1394 |
| work_keys_str_mv | AT asadali directedgazetrajectoriesforbiometricpresentationattackdetection AT sanaulhoque directedgazetrajectoriesforbiometricpresentationattackdetection AT farzinderavi directedgazetrajectoriesforbiometricpresentationattackdetection |