A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis

Sheng-Hsun Hsieh; Yung-Hui Li; Wei Wang; Chung-Hao Tien

doi:10.3390/s18030795

A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis

Sensors (Basel). 2018 Mar 6;18(3):795. doi: 10.3390/s18030795.

Authors

Sheng-Hsun Hsieh¹, Yung-Hui Li², Wei Wang³, Chung-Hao Tien⁴

Affiliations

¹ Department of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan. jack10313.eo00g@nctu.edu.tw.
² Department of Computer Science & Information Engineering, National Central University, 300 Zhongda Road, Zhongli District, Taoyuan 32001, Taiwan. yunghui@csie.ncu.edu.tw.
³ Department of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan. wwang107@gmail.com.
⁴ Department of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan. chtien@mail.nctu.edu.tw.

Abstract

In this study, we maneuvered a dual-band spectral imaging system to capture an iridal image from a cosmetic-contact-lens-wearing subject. By using the independent component analysis to separate individual spectral primitives, we successfully distinguished the natural iris texture from the cosmetic contact lens (CCL) pattern, and restored the genuine iris patterns from the CCL-polluted image. Based on a database containing 200 test image pairs from 20 CCL-wearing subjects as the proof of concept, the recognition accuracy (False Rejection Rate: FRR) was improved from FRR = 10.52% to FRR = 0.57% with the proposed ICA anti-spoofing scheme.

Keywords: independent component analysis; iris recognition; spectral imaging.

MeSH terms

Algorithms
Cosmetics
Databases, Factual
Iris*

Substances

Cosmetics