Integrate Liveness Detection with Iris Verification to Construct Support Biometric System

Abstract

The probabilities for the technology to be spoofed are widely acknowledged in biometric verification system. Important efforts have been conducted to study such threats and to develop countermeasures to direct attacks to the biometric verification system to ensure the security of these systems against spoof attacks and reduce this risk, by using another module that is added to the biometric verification system called the "liveness detection" which uses different anatomical properties to distinguish between real and fake traits. Thus, the robustness of the system against direct attacks can be improved through increasing the security level offered to the final user. This paper is an attempt to construct support biometric security system to protect the iris biometric verification system from spoof attacks, through integrating the iris verification system with addition module called liveness detection which composed of two sub-modules (static and dynamic). A test has been performed, for iris verification phase performed on two types of database (MMU DB) for 180 samples and (CASIA DB) for 90 samples, and gave accuracy (99.44%) with FAR of (0.0277) and FRR (0.0055) for MMU DB, and accuracy (97.77%) with FAR of (0.0333) and FRR (0.0222) for CASIA DB.

ILivSpot: Secure Biometric System based on Iris Liveliness Detection

“…Liveliness detection is one of the solutions proposed to deal with the presentation attacks by differentiating real and fake traits on the basis of different properties. So, considering this concept, Ahmad and Abdulkareem [5] proposed a secure biometric system which considers the iris based ILivSpot: Secure Biometric System based on Iris Liveliness Detection Sunil Kumar, Vijay Kumar Lamba, SurenderJangra biometric system with liveliness detection module. Here in this work, there are two sub modules of liveliness detection namely, static and dynamic.…”