Details

Autor(en) / Beteiligte

• Dong, Jixiang
• Tian, Chunwei
• Xu, Yong

Titel

Face liveness detection using color gradient features

Ist Teil von

• 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), 2017, p.377-382

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE

Beschreibungen/Notizen

• Face liveness detection is widely used to detect face spoofing attacks. Most existing face liveness detection methods are mainly based on texture information of face images in the gray-scale space which ignored the chrominance information and other feature differences. In this paper, we introduced a novel modified color gradient feature into face liveness detection which used variant color roberts cross operator. This method can extract the color gradient information from the live faces or fake faces so that the proposed method has potential to achieve a better performance. Extensive experimental results on benchmark databases showed that the proposed variant color-gradient feature was very effective for face liveness detection.