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

fYear

2008

fDate

22-24 Oct. 2008

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. CCPR '08. Chinese Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2316-3

Type

conf

DOI

10.1109/CCPR.2008.68

Filename

4663021