Deep learning based face liveness detection in videos- Deep Learning projects-Matlab
In this project,The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be robust against spoof face attacks.
The proposed method,a deep-learning-based face detection is proposed. In other words, a reliable face-based access system can determine both the identity and the liveness of the input face.These methods generally apply a series of processes against the input image(s) in order to detect the liveness of the face.CNN, however, contains a series of convolution and pooling layers. In addition, the CNN model may have more fully connected layers. A series of experiments were conducted on popular spoof face detection databases.The resullts are compared with databases.