Face Liveness Detection Using Defocus
In order to develop security systems for identity authentication, face recognition (FR) technology has been applied. One of the main problems of applying FR technology is that the systems are especially vulnerable to attacks with spoofing faces (e.g., 2D pictures). To defend from these attacks and t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/1/1537 |
| _version_ | 1798039375995469824 |
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| author | Sooyeon Kim Yuseok Ban Sangyoun Lee |
| author_facet | Sooyeon Kim Yuseok Ban Sangyoun Lee |
| author_sort | Sooyeon Kim |
| collection | DOAJ |
| description | In order to develop security systems for identity authentication, face recognition (FR) technology has been applied. One of the main problems of applying FR technology is that the systems are especially vulnerable to attacks with spoofing faces (e.g., 2D pictures). To defend from these attacks and to enhance the reliability of FR systems, many anti-spoofing approaches have been recently developed. In this paper, we propose a method for face liveness detection using the effect of defocus. From two images sequentially taken at different focuses, three features, focus, power histogram and gradient location and orientation histogram (GLOH), are extracted. Afterwards, we detect forged faces through the feature-level fusion approach. For reliable performance verification, we develop two databases with a handheld digital camera and a webcam. The proposed method achieves a 3.29% half total error rate (HTER) at a given depth of field (DoF) and can be extended to camera-equipped devices, like smartphones. |
| first_indexed | 2024-04-11T21:53:02Z |
| format | Article |
| id | doaj.art-33ebd600a8fb4c0fa38df75234afca96 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:53:02Z |
| publishDate | 2015-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-33ebd600a8fb4c0fa38df75234afca962022-12-22T04:01:11ZengMDPI AGSensors1424-82202015-01-011511537156310.3390/s150101537s150101537Face Liveness Detection Using DefocusSooyeon Kim0Yuseok Ban1Sangyoun Lee2Department of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, KoreaDepartment of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, KoreaIn order to develop security systems for identity authentication, face recognition (FR) technology has been applied. One of the main problems of applying FR technology is that the systems are especially vulnerable to attacks with spoofing faces (e.g., 2D pictures). To defend from these attacks and to enhance the reliability of FR systems, many anti-spoofing approaches have been recently developed. In this paper, we propose a method for face liveness detection using the effect of defocus. From two images sequentially taken at different focuses, three features, focus, power histogram and gradient location and orientation histogram (GLOH), are extracted. Afterwards, we detect forged faces through the feature-level fusion approach. For reliable performance verification, we develop two databases with a handheld digital camera and a webcam. The proposed method achieves a 3.29% half total error rate (HTER) at a given depth of field (DoF) and can be extended to camera-equipped devices, like smartphones.http://www.mdpi.com/1424-8220/15/1/1537face liveness detectionanti-spoofingdefocus2D fake facewebcam |
| spellingShingle | Sooyeon Kim Yuseok Ban Sangyoun Lee Face Liveness Detection Using Defocus Sensors face liveness detection anti-spoofing defocus 2D fake face webcam |
| title | Face Liveness Detection Using Defocus |
| title_full | Face Liveness Detection Using Defocus |
| title_fullStr | Face Liveness Detection Using Defocus |
| title_full_unstemmed | Face Liveness Detection Using Defocus |
| title_short | Face Liveness Detection Using Defocus |
| title_sort | face liveness detection using defocus |
| topic | face liveness detection anti-spoofing defocus 2D fake face webcam |
| url | http://www.mdpi.com/1424-8220/15/1/1537 |
| work_keys_str_mv | AT sooyeonkim facelivenessdetectionusingdefocus AT yuseokban facelivenessdetectionusingdefocus AT sangyounlee facelivenessdetectionusingdefocus |