An Overview of Biometrics and Face Spoofing Detection

[1]  Anil K. Jain,et al.  Cross-Database Face Antispoofing with Robust Feature Representation , 2016, CCBR.

[2]  Xiaoyue Jiang,et al.  Face spoofing detection with local binary pattern network , 2018, J. Vis. Commun. Image Represent..

[3]  Jiwen Lu,et al.  Context-Aware Local Binary Feature Learning for Face Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Andrea Vedaldi,et al.  MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.

[5]  Anil K. Jain,et al.  Face Spoof Detection With Image Distortion Analysis , 2015, IEEE Transactions on Information Forensics and Security.

[6]  Jiwen Lu,et al.  Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  David Windridge,et al.  Detection of Face Spoofing Using Visual Dynamics , 2015, IEEE Transactions on Information Forensics and Security.

[8]  Vishnu Naresh Boddeti,et al.  Local Binary Convolutional Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Jiwen Lu,et al.  Learning Compact Binary Face Descriptor for Face Recognition , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  YuanFang,et al.  Integration of image quality and motion cues for face anti-spoofing , 2016 .

[11]  Qing Wang,et al.  LFHOG: A discriminative descriptor for live face detection from light field image , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[12]  Alex ChiChung Kot,et al.  Face spoofing detection with image quality regression , 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

[13]  Richa Singh,et al.  Face anti-spoofing using Haralick features , 2016, 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS).

[14]  Jian Sun,et al.  Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[15]  Lai-Man Po,et al.  Integration of image quality and motion cues for face anti-spoofing: A neural network approach , 2016, J. Vis. Commun. Image Represent..

[16]  Paulo Lobato Correia,et al.  Light field local binary patterns description for face recognition , 2017, 2017 IEEE International Conference on Image Processing (ICIP).