Volume XLII-2/W12
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W12, 197-202, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W12-197-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W12, 197-202, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W12-197-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  09 May 2019

09 May 2019

RELIABILITY INDEX FOR IRIS CODE MATCHING IN IRIS RECOGNITION SYSTEMS

B. H. Shekar1, S. S. Bhat2, and A. Maysuradze3 B. H. Shekar et al.
  • 1Mangalore University, Mangalore, Karnataka India
  • 2Government First Grade College, Ankola, Karnataka, India
  • 3Lomonosov Moscow State University, Moscow, Russia

Keywords: Iris code matching, Reliability Index, Iris recognition

Abstract. Iris code matching is an important stage of iris biometric systems which compares the input iris code with stored patterns of enrolled iris codes and classifies the code into one of classes so that, the claim is accepted or rejected. Several classifier based approaches are proposed by the researchers to improve the recognition accuracy. In this paper, we discuss the factors affecting an iris classifier’s performance and we propose a reliability index for iris matching techniques to quantitatively measure the extent of system reliability, based on false acceptance rate and false rejection rates using Monte Carlo Simulation. Experiments are carried out on benchmark databases such as, IITD, MMU v-2, CASIA v-4 Distance and UBIRIS v.2.