Multifeature-based fake iris detection method

Sung Joo Lee, Kang Ryoung Park, Youn Joo Lee, Kwanghyuk Bae, Jaihie Kim

Research output: Contribution to journalArticle

18 Citations (Scopus)

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.

Original languageEnglish
Article number127204
JournalOptical Engineering
Volume46
Issue number12
DOIs
Publication statusPublished - 2007 Dec 1

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

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  • Cite this

    Lee, S. J., Park, K. R., Lee, Y. J., Bae, K., & Kim, J. (2007). Multifeature-based fake iris detection method. Optical Engineering, 46(12), [127204]. https://doi.org/10.1117/1.2815719