Low cost enhanced security face recognition with stereo cameras

November 04, 2020 · Entered Twilight · 🏛 arXiv.org

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Repo contents: .gitignore, README.md, database, devices, evaluate.py, evaluation, face_detector, face_recognition, img, main.py, menu.py, opencv, registration.py, requirements.txt, stereo_vision, ui.py, utils

Authors Biel Tura Vecino, Martí Cobos, Philippe Salembier arXiv ID 2011.02222 Category cs.CV: Computer Vision Citations 0 Venue arXiv.org Repository https://github.com/bieltura/Automotive_face_detector Last Checked 2 months ago

Abstract

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.