Research on face spoofing detection has mainly been focused on analyzing the
luminance of the face images, hence discarding the chrominance information
which can be useful for discriminating fake faces from genuine ones. In this
work, we propose a new face anti-spoofing method based on color texture
analysis. We analyze the joint color-texture information from the luminance and
the chrominance channels using a color local binary pattern descriptor. More
specifically, the feature histograms are extracted from each image band
separately. Extensive experiments on two benchmark datasets, namely CASIA face
anti-spoofing and Replay-Attack databases, showed excellent results compared to
the state-of-the-art. Most importantly, our inter-database evaluation depicts
that the proposed approach showed very promising generalization capabilities.

通过颜色纹理分析的局部二值模式描述符的使用，来分析亮度和色度通道的结合颜色 - 纹理信息，提出了一种新的基于颜色纹理分析的人脸反欺诈方法，并在 CASIA 人脸反欺诈和 Replay-Attack 数据库上进行了广泛实验，表明其较现有技术具有更好的检测准确性。