Context Based Face Spoofing Detection Using Active Near-Infrared Images
文献类型：会议论文
| 作者 | Xudong Sun ; Lei Huang; Changping Liu
|
| 出版日期 | 2016 |
| 会议日期 | 2016.12 |
| 会议地点 | Cancun, Mexico |
| 关键词 | Biometric Security Face Spoofing Detection Context Consistency |
| 英文摘要 | In this paper, with the help of controllable active near-infrared (NIR) lights, we construct near-infrared differential (NIRD) images. Based on reflection model, NIRD image is believed to contain the lighting difference between images with and without active NIR lights. Two main characteristics based on NIRD images are exploited to conduct spoofing detection. Firstly, there exist obviously spoofing media around the faces in most conditions, which reflect incident lights in almost the same way as the face areas do. We analyze the pixel consistency between face and non-face areas and employ context clues to distinguish the spoofing images. Then, lighting feature, extracted only from face areas, is utilized to detect spoofing attacks of deliberately cropped medium. Merging the two features, we present a face spoofing detection system. In several experiments on self collected datasets with different spoofing media, we demonstrate the excellent results and robustness of proposed method. |
| 会议录 | International Conference on Pattern Recognition
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20956]  |
| 专题 | 自动化研究所_投资企业 |
| 作者单位 | Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Xudong Sun,Lei Huang,Changping Liu. Context Based Face Spoofing Detection Using Active Near-Infrared Images[C]. 见:. Cancun, Mexico. 2016.12. |
入库方式： OAI收割
来源：自动化研究所
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