开源配合型人脸活体检测 Open Source Face Anti-spoofing
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Updated
Nov 18, 2019 - C++
开源配合型人脸活体检测 Open Source Face Anti-spoofing
Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android
Face recognition SDK Android with 3D passive face liveness detection(anti-spoofing). Standard Face Recognition SDK This repo supports the following functionality: face matching, face compare, face comparison, facial recognition, feature extraction, face identification, face anti-spoofing and face liveness detection for IDV
OpenKYC Community Project
Face Recognition Face Liveness Detection Android SDK (Face Detection, Face Landmarks, Face Anti Spoofing, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
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"
Robust, Realtime, On-Device Face Liveness Detection (Face Anti Spoofing) Android
Face Liveness Detection (Face Anti Spoofing) Server SDK
towards the solving spoofing problem
Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing
Official implementation of the SPL paper "One-class Learning Towards Synthetic Voice Spoofing Detection"
Recognize 2000+ faces on your Raspberry Pi 4 with database auto-fill and anti-spoofing
This repository is a docker project for 3D passive face liveness detection (face anti-spoofing).
A simple face anti-spoofing based on CNN trained with HSV + YCrCb color feature, implemented with tensorflow and keras.
JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with Squeeze-Excitation and Residual neTworks (ASSERT).
The project for 3D passive face liveness detection, face anti-spoofing, face fraudulent check, face liveness check and face fraud detection on Android.
University of Edinbrugh-Johns Hopkins University's system for ASVspoof 2017 Version 2.0 dataset.
Official implementation of our ASVspoof 2021 paper, "UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021"
Deep Learning based Face Anti-Spoofing
Robust, Realtime, On-Device Face Liveness Detection (Face Anti Spoofing) For iOS
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