@inproceedings{2c4acb9ef8ee46e0bf4305c1e886af43,
title = "Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images",
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.",
author = "Park, {Jong Hyun} and Kang, {Moon Gi}",
year = "2005",
doi = "10.1007/11569947_19",
language = "English",
isbn = "3540294317",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "150--156",
booktitle = "Advances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings",
address = "Germany",
note = "International Wokshop on Biometric Recognition Systems, IWBRS 2005: Advances in Biometric Person Authentication ; Conference date: 22-10-2005 Through 23-10-2005",
}