Open AccessA New Enhanced Template Protection Algorithm on Iris Recognition
Author(s) -
Mohammad Ashik Iqbal Khan,
Suraj Yadav
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f7208.038620
Subject(s) - iris recognition , biometrics , computer science , matlab , mean squared error , iris (biosensor) , field (mathematics) , process (computing) , data mining , algorithm , authentication (law) , pattern recognition (psychology) , artificial intelligence , machine learning , computer engineering , computer security , statistics , mathematics , operating system , pure mathematics
Over the past few years, biometric systems have become prominent in terms of verification of the user identity due to increased demand of security in the networked society. Iris recognition system is a novel technology for the verification of user which is considered as the most secure, reliable and stable technique. It is generally accepted in the areas with high security. Though, security is major concern in this field, a significant number of approaches have been proposed to secure iris biometrics, But still, there is a scope to improve these techniques. Thus, in this work, a novel model is proposed which employs a bitmask compression technique to secure the template obtained for iris by compressing its actual size. In addition; SVM is used for the classification process. Mean Square Error, Bit Error Rate, PSNR, and GAR are different parameters which are used for measuring the effectiveness of the proposed model. The simulation results are carried out in MATLAB software and the comparative results validated the efficacy of the novel model with respect to security, efficacy and accuracy.