Title :
A Fake Iris Detection Method Based on FFT and Quality Assessment
Author :
He, Xiaofu ; Lu, Yue ; Shi, Pengfei
Author_Institution :
Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai
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 (access control); fast Fourier transforms; image recognition; statistical analysis; 2D Fourier spectra; fake iris detection; fast Fourier transforms; image quality assessment; iris recognition; statistical properties; Biometrics; Counterfeiting; Frequency; Image analysis; Image quality; Iris recognition; Lenses; Optical reflection; Pattern recognition; Quality assessment;
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
DOI :
10.1109/CCPR.2008.68
