Biometrics Open Source Projects

Modern authentication, on your terms. Open source alternative to Auth0, Clerk, WorkOS, Stytch.

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

Use Apple FaceID or TouchID authentication in your app using BiometricAuthentication.

Messenger Clone - Real-time iOS Chat with Firebase Firestore written in Swift

A Simple Expense Tracker App built to demonstrate the use of SwiftUI, CoreData, Charts, Biometrics (Face & Touch ID), Export CSV and MVVM Architecture.

Python framework for Virtual Heart Rate

Code and information for face image quality assessment with SER-FIQ

CVPR 2023 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. A star in the development of visual intelligence!

Face recognition system for ID photos

Quick unlock KeePass 2 database using biometrics with Windows Hello

Cordova Plugin for fingerprint sensors (and FaceID) with Android and iOS support

Fingerprint recognition engine for Java that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.

Using oriented gabor filters to enhance fingerprint images

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Django Authentication Backend For Passkeys

simple interface to verify user authenticity

EDCC: An efficient and accurate algorithm for palmprint recognition.

Extract minutiae features from fingerprint images

This is an Android project allowing you to use the advanced biometric authorization features.

Optical live-scan and ink fingerprint image quality assessment tool

Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics (ICB) 2018

Official repository for CVPR2023 paper, CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

CVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

OpenAFIS: High performance C++ fingerprint matching library

Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as “on-line”. Dynamic information usually consists of the following information:

Use fingerprint readers with a Linux desktop environment

Provides the ability to lock the screen on ios and android. Biometric authentication can be used in addition to passcode.

Biometric factors allow for secure authentication on the Android platform.

Fingerprint recognition engine for .NET that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.