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
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.
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 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)
how to use Biometric Authentication in kotlin
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.
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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