Face Liveness Detection Using Thermal Face-CNN with External Knowledge
Face liveness detection is important for ensuring security. However, because faces are shown in photographs or on a display, it is difficult to detect the real face using the features of the face shape. In this paper, we propose a thermal face-convolutional neural network (Thermal Face-CNN) that kno...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-03-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-8994/11/3/360 |
| _version_ | 1798040805080825856 |
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| author | Jongwoo Seo In-Jeong Chung |
| author_facet | Jongwoo Seo In-Jeong Chung |
| author_sort | Jongwoo Seo |
| collection | DOAJ |
| description | Face liveness detection is important for ensuring security. However, because faces are shown in photographs or on a display, it is difficult to detect the real face using the features of the face shape. In this paper, we propose a thermal face-convolutional neural network (Thermal Face-CNN) that knows the external knowledge regarding the fact that the real face temperature of the real person is 36~37 degrees on average. First, we compared the red, green, and blue (RGB) image with the thermal image to identify the data suitable for face liveness detection using a multi-layer neural network (MLP), convolutional neural network (CNN), and C-support vector machine (C-SVM). Next, we compared the performance of the algorithms and the newly proposed Thermal Face-CNN in a thermal image dataset. The experiment results show that the thermal image is more suitable than the RGB image for face liveness detection. Further, we also found that Thermal Face-CNN performs better than CNN, MLP, and C-SVM when the precision is slightly more crucial than recall through F-measure. |
| first_indexed | 2024-04-11T22:12:43Z |
| format | Article |
| id | doaj.art-90d1c1acc8cf448d88562f720b035728 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-04-11T22:12:43Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-90d1c1acc8cf448d88562f720b0357282022-12-22T04:00:31ZengMDPI AGSymmetry2073-89942019-03-0111336010.3390/sym11030360sym11030360Face Liveness Detection Using Thermal Face-CNN with External KnowledgeJongwoo Seo0In-Jeong Chung1Department of Computer and Information Science, Korea University, Sejong Campus, Sejong City 30019, KoreaDepartment of Computer Convergence Software, Korea University, Sejong Campus, Sejong City 30019, KoreaFace liveness detection is important for ensuring security. However, because faces are shown in photographs or on a display, it is difficult to detect the real face using the features of the face shape. In this paper, we propose a thermal face-convolutional neural network (Thermal Face-CNN) that knows the external knowledge regarding the fact that the real face temperature of the real person is 36~37 degrees on average. First, we compared the red, green, and blue (RGB) image with the thermal image to identify the data suitable for face liveness detection using a multi-layer neural network (MLP), convolutional neural network (CNN), and C-support vector machine (C-SVM). Next, we compared the performance of the algorithms and the newly proposed Thermal Face-CNN in a thermal image dataset. The experiment results show that the thermal image is more suitable than the RGB image for face liveness detection. Further, we also found that Thermal Face-CNN performs better than CNN, MLP, and C-SVM when the precision is slightly more crucial than recall through F-measure.http://www.mdpi.com/2073-8994/11/3/360face liveness detectionconvolutional neural networkthermal imageexternal knowledge |
| spellingShingle | Jongwoo Seo In-Jeong Chung Face Liveness Detection Using Thermal Face-CNN with External Knowledge Symmetry face liveness detection convolutional neural network thermal image external knowledge |
| title | Face Liveness Detection Using Thermal Face-CNN with External Knowledge |
| title_full | Face Liveness Detection Using Thermal Face-CNN with External Knowledge |
| title_fullStr | Face Liveness Detection Using Thermal Face-CNN with External Knowledge |
| title_full_unstemmed | Face Liveness Detection Using Thermal Face-CNN with External Knowledge |
| title_short | Face Liveness Detection Using Thermal Face-CNN with External Knowledge |
| title_sort | face liveness detection using thermal face cnn with external knowledge |
| topic | face liveness detection convolutional neural network thermal image external knowledge |
| url | http://www.mdpi.com/2073-8994/11/3/360 |
| work_keys_str_mv | AT jongwooseo facelivenessdetectionusingthermalfacecnnwithexternalknowledge AT injeongchung facelivenessdetectionusingthermalfacecnnwithexternalknowledge |