摘要
由于人脸图像和视频很容易得到,活体成为人脸识别大规模应用的障碍。提出一种基于规则过滤的红外人脸活体检测方法,基于红外成像的机理,可以高效地防止照片、视频重放和人脸动作编辑等攻击。
Since face images and videos are easy to obtain,living objects become obstacles to large-scale application of face recognition.Proposed an infrared human face detection method based on rule filtering,based on the mechanism of infrared imaging,it can effectively prevent the at?tack of photo,video replay and face action editing.
作者
黄叶珏
HUANG Ye-jue(Department of Information Technology,Zhejiang Economic&Trade Polytechnic,Hangzhou 310018)
出处
《现代计算机》
2019年第23期55-57,共3页
Modern Computer
关键词
人脸活体检测
规则过滤
视频重放
通过率
拒识率
Human Face Detection
Rule Filtering
Video Replay
Rate of Passing
Rejection Rate