@inproceedings{18025781d0f740c49cfd05d4391f880f,
title = "A fake iris detection method based on FFT and quality assessment",
abstract = "In recent years, iris recognition is becoming a very active topic in both research and practical applications. However, fake iris is a potential threat there are potential threats for iris-based systems. This paper presents a novel fake iris detection method based on the analysis of 2-D Fourier spectra together with iris image quality assessment. First, image quality assessment method is used to exclude the defocused, motion blurred fake iris. Then statistical properties of Fourier spectra for fake iris are used for clear fake iris detection. Experimental results show that the proposed method can detect photo iris and printed iris effectively.",
keywords = "Biometrics, FFT, Fake iris detection, Iris recognition, LoG",
author = "Xiaofu He and Yue Lu and Pengfei Shi",
year = "2008",
doi = "10.1109/CCPR.2008.68",
language = "英语",
isbn = "9781424423163",
series = "Proceedings of the 2008 Chinese Conference on Pattern Recognition, CCPR 2008",
pages = "316--319",
booktitle = "Proceedings of the 2008 Chinese Conference on Pattern Recognition, CCPR 2008",
note = "2008 Chinese Conference on Pattern Recognition, CCPR 2008 ; Conference date: 22-10-2008 Through 24-10-2008",
}