An alternative to Windows Hello/Howdy

Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, and Chu-Song Chen, "Data-specific Adaptive Threshold for Face Recognition and Authentication," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2019

Face-similarity CNN using Tensorflow Eager execution.

Face-authentication system enterely written on C++ with OpenCV and Qt third party library. Face-antispoofing procedure is included.

E-voting system using blockchain & face recognition where user can give vote using blockchain and user must recognize using face recognition software. we are using blockchain so the voting data can't be altered and for only one vote casting face recognition so only one user can cast one vote. if you have any problems drop me a mail

The Facial Recognition-Based Authentication Application is a cutting-edge web application developed using React and face-api.js.

Secure Your World with Face Authentication System 🔒👤 | Built with Python, Flask, HTML, CSS, and JS, this innovative solution brings cutting-edge security to your applications! Experience the future of authentication today! 🚀 #FaceAuthentication #Python #Flask #WebDevelopment #HTML #CSS

Mobile App of quiz application for engineers🧑‍💻 [Flutter / Firebase / Django]

Linux Pluggable Authentication Module (PAM) for face authentication

I have created a GUI Based Contactless University Access Control, Facial Authentication System. By utilizing OpenCV, Haar Cascade, and Python.

NPM Package for FACEIO's fio.js

A demo Ionic 3 App with Fingerprint and Face Authentication on Android and iOS. Using plugin Cordova Fingerprint AIO.

Andorid library that provide a simple API to compare the similarity between 2 faces from bitmap. This can be implemented to a face recognition system, face authentication, and many more that needed face comparison technique.

An authentication system based on face verification and mood recognition

This Flutter project implements face authentication using the FaceNet512 model, storing face data (as Float32 arrays) and names in Firebase Firestore. It allows users to capture and store their face data for subsequent identification, predicting identities based on cosine similarity.

Project for Biometric Authentication System course of SoICT - HUST

Face Authentication with tflite (offline).

Developed for the Biometric Course (Semester 20241) at HUST, this project implements a 2D face recognition system powered by advanced deep learning techniques, delivering precise and reliable authentication

An multi modal automated proctor for online exams

LockLess is a comprehensive biometric authentication system using Python, OpenCV, and deep learning models. It offers offline face enrollment, real-time verification, AES-256 encryption, and multi-modal liveness detection across Windows, Linux, and Android platforms. Built for privacy with local processing and enterprise security standards.