Face anti-spoofing by using Feature Fusion

Qiong Liu, Lan Zhang
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Abstract

Security issues have attracted more and more attention with the application of face recognition technology. Face anti-spoofing has become an important derivative subject in the current research of face recognition, More and more researchers are devoted to the research of face anti-spoofing by the increase of fake face types. Even face anti-spoofing has been studied from different angles, some of the methods have significant effects, while there are still some deficiencies and can not get satisfactory results, How to effectively distinguish between real faces and fake faces and improve the accuracy of classification is the focus of current research.
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利用特征融合实现抗欺骗
随着人脸识别技术的应用,安全问题越来越受到人们的关注。人脸防欺骗已经成为当前人脸识别研究中的一个重要衍生课题,随着假人脸类型的增多,越来越多的研究者致力于人脸防欺骗的研究。即使人脸防欺骗已经从不同的角度进行了研究,其中一些方法取得了显著的效果,同时也存在一些不足,不能得到满意的结果,如何有效区分真假人脸,提高分类准确率是当前研究的重点。
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