Open AccessFeature Level Fusion of Iris and Sclera using Entropy Based CNN Features to Improve the Performance of Biometric Authentication
Publication year - 2020
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2020/178952020
Subject(s) - biometrics , iris (biosensor) , artificial intelligence , computer science , iris recognition , pattern recognition (psychology) , authentication (law) , feature (linguistics) , feature extraction , entropy (arrow of time) , computer vision , computer security , physics , linguistics , philosophy , quantum mechanics