Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images

Authors:
Jong Hyun Park;Moon Gi Kang
Affiliations:
Biometrics Engineering Research Center, Department of Electrical and Electronic Engineering, Yonsei University, Seodaemun-Gu, Seoul, Korea;Biometrics Engineering Research Center, Department of Electrical and Electronic Engineering, Yonsei University, Seodaemun-Gu, Seoul, Korea
Venue:
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Year:
2005

Citing 7
Cited 0

A note on the gradient of a multi-image

Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Hiding Biometric Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal Identification Based on Iris Texture Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
A human identification technique using images of the iris andwavelet transform

IEEE Transactions on Signal Processing
A multivalued image wavelet representation based on multiscale fundamental forms

IEEE Transactions on Image Processing
Multispectral image visualization through first-order fusion

IEEE Transactions on Image Processing
How iris recognition works

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present an iris recognition system considering counterfeit attacks. The proposed system takes multi-spectral images instead of one infrared iris image. The energy of the multi-spectral images is checked and the authentication is failed if the amount of the energy is not in the proper range. Then the images are normalized and merged into a grayscale image by using a gradient-based image fusion algorithm. In the fusion process, the images considered to be from a counterfeited iris are merged into a poor-quality image which successively generates poor matching score. We show that the proposed scheme successfully maintains the performance of real iris images preventing the counterfeit attacks with experimental results.