A fake iris detection method based on FFT and quality assessment

被引：0
|
作者：
He, Xiaofu [1 ]
Lu, Yue [1 ]
Shi, Pengfei [2 ]
机构：
[1] E China Normal Univ, Dept Comp Sci & Technol, Shanghai 200241, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China
来源：
PROCEEDINGS OF THE 2008 CHINESE CONFERENCE ON PATTERN RECOGNITION (CCPR 2008) | 2008年
关键词：
Biometrics; Iris recognition; Fake iris detection; LoG; FFT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：316 / +
页数：2
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