Low cost enhanced security face recognition with stereo cameras
This addresses security issues for users of low-cost facial authentication systems, offering an incremental improvement over existing methods.
The paper tackled security vulnerabilities in low-cost face recognition systems by using stereo cameras to create depth maps, preventing spoofing with printed photos and achieving real-time authentication.
This article explores a face recognition alternative which seeks to contribute to resolve current security vulnerabilities in most recognition architectures. Current low cost facial authentication software in the market can be fooled by a printed picture of a face due to the lack of depth information. The presented software creates a depth map of the face with the help of a stereo setup, offering a higher level of security than traditional recognition programs. Analysis of the person's identity and facial depth map are processed through deep convolutional neural networks, providing a secure low cost real-time face authentication method.