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

ZKLibrary is PHP library for reading and writing data to attendance device using UDP protocol. This library useful to comunicate between web server and attendance device directly without addition program. This library is implemented in the form of class. So that you can create an object and use it functions.

EDCC: An efficient and accurate algorithm for palmprint recognition.

Liveness detection SDK Linux - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.

Face recognition SDK iOS with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)

Apple bio metric authentication for touchID and faceID

Voice biometric authentication PAM module for Linux

Face Recognition SDK .NET MAUI (formerly Xamarin) and CSharp with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)

A robust algorithm for extracting ROI from palm image taken by mobile phone.

This is a collection of 10 000 unique digital fingerprints created based on the algorithm for generating basic rings using a noise texture. Like human fingerprints, you can now use them for the Web3 and Metaverse era as digital biometric information on The Open Network.

Circular Hough transform is used for detecting circles in images. This is a basic implementation of CHT using Matlab

Fork of pypassport for python3

Biometrics Guide

how to use Biometric Authentication in kotlin

Make a portable biometric authentication of your application!

Biometic Systems project, based on "EEG-based user identification system using 1D-convolutional long short-term memory neural networks"

Bio-metric Identification of a person using Finger Vein Data

Face matching using deep learning (CNN embedding + triplet loss)