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

Department of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan
Department of Computer Science & Information Engineering, National Central University, 300 Zhongda Road, Zhongli District, Taoyuan 32001, Taiwan
Author to whom correspondence should be addressed.
Sensors 2018, 18(3), 795;
Received: 30 November 2017 / Revised: 26 February 2018 / Accepted: 2 March 2018 / Published: 6 March 2018
(This article belongs to the Special Issue Novel Sensors for Bioimaging)
PDF [7021 KB, uploaded 6 March 2018]


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. View Full-Text
Keywords: spectral imaging; independent component analysis; iris recognition spectral imaging; independent component analysis; iris recognition

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Hsieh, S.-H.; Li, Y.-H.; Wang, W.; Tien, C.-H. A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis. Sensors 2018, 18, 795.

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