Multifeature-based fake iris detection method

Sung Joo Lee; Kang Ryoung Park; Youn Joo Lee; Kwanghyuk Bae; Jai Hie Kim

doi:10.1117/1.2815719

1 December 2007 Multifeature-based fake iris detection method

Sung Joo Lee, Kang Ryoung Park, Youn Joo Lee, Kwanghyuk Bae, Jai Hie Kim

Author Affiliations +

Optical Engineering, Vol. 46, Issue 12, 127204 (December 2007). https://doi.org/10.1117/1.2815719

Abstract

The purpose of fake iris detection is to discriminate between real and fake iris images and to defeat fake (forged) iris images. A robust fake iris detection method should be able to detect various types of fake iris images obtained from a fake printed iris, an artificial eye, or a fake contact lens, correctly and nonintrusively. To solve the problem, we propose a new fake iris detection method. We measure distinctive physiological multifeatures [the first and second features refer to the reflectance ratios of the iris to the sclera (RRIS) at 750 and 850 nm, respectively, and the third feature refers to the thickness of the corneoscleral limbus], and classify those features extracted from live irises and fake irises using a support vector machine (SVM). Using the proposed method, we can discriminate various types of fake iris images without inconveniencing users by shining visible light. To measure the performance of the method, three types of fake irises are made: a printed iris, an artificial eye, and a fake contact lens. Our experimental results show that it is possible to detect those fake iris images with high accuracy.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Sung Joo Lee, Kang Ryoung Park, Youn Joo Lee, Kwanghyuk Bae, and Jai Hie Kim "Multifeature-based fake iris detection method," Optical Engineering 46(12), 127204 (1 December 2007). https://doi.org/10.1117/1.2815719

Published: 1 December 2007

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