Android library to simplify Biometric authentication implementation.
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Updated
Feb 23, 2024 - Java
Android library to simplify Biometric authentication implementation.
This is an Android project allowing you to use the advanced biometric authorization features.
EDCC: An efficient and accurate algorithm for palmprint recognition.
Easy access to native biometric auth APIs on iOS and Android
Browser-only utils for locally managing WebAuthn (passkey) API
Use fingerprint readers with a Linux desktop environment
Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.
Apple bio metric authentication for touchID and faceID
Voice biometric authentication PAM module for Linux
A robust algorithm for extracting ROI from palm image taken by mobile phone.
Keycloak Workshop for Step Up with MFA Biometrics Authentication (Passkeys) and Passwordless experience with Passkeys
Securify is a password and credit/debit card manager app, with advanced encryption. Features include Fingerprint unlock, one-tap sign-in and generate password
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.
This is the library for Xamarin Form to use Biometric ID to do the local authentication
Affective EEG-Based Person Identification Using the Deep Learning Approach (IEEE Transactions on Cognitive and Developmental Systems)
Signature is a secure, biometric (fingerprint) based passwordless web authentication system that uses and manages user profiles and login history. Additional security features include multi-factor authentication and two-factor recovery to prevent unauthorized access.
how to use Biometric Authentication in kotlin
Research paper repository for "A Hand Structure-Based Mobile Authentication Solution to the Security-Reliability Trade-off" Paper from NJ Governor's School of Engineering and Technology 2022. The paper proposes a mobile authentication system using hand structure, structure-borne sound, and artificial intelligence
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