TITLE:
Integrate Liveness Detection with Iris Verification to Construct Support Biometric System
AUTHORS:
Hanaa Mohsin Ahmad, Bushra Jabbar Abdulkareem
KEYWORDS:
Liveness Detection, Iris Verification, Countermeasures, Direct Attacks, Fingerprint Verification
JOURNAL NAME:
Journal of Computer and Communications,
Vol.4 No.1,
January
26,
2016
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.