Face Spoofing Detection Using Texture Analysis
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Updated
Sep 3, 2017 - MATLAB
Face Spoofing Detection Using Texture Analysis
Face-authentication system enterely written on C++ with OpenCV and Qt third party library. Face-antispoofing procedure is included.
19 place solution for ID R&D Antispoof Competition
[CVPR 2019] Pytorch codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
demo of face detection ,alignment and anti spoofing
Cork/Face Presentation Attack Detection
DOneLogin Android: Facial verification for Two-Factors Authentication (2FA) on Android platform
Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper
[AAAI 2020] Pytorch codes for Regularized Fine-grained Meta Face Anti-spoofing
Face Anti-Spoofing project. Lanit-Tercom summer school 2022
A Python anti-spoofing web app to distinguish real faces from fake ones based on live camera feed
face anti-spoofing using different algorithms
face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
Official repository of the paper Face Presentation Attack Detection by Eacavating Causal Clues and Adapting Embedding Statistics
Face anti-spoofing model, python/pytorch
BWS Android sample code for app integration
BWS iOS sample code for app integration
BWS HTML5 Unified User Interface
Face Recognition Javascript SDK using ONNX Runtime Web and OpenCV.js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
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