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

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 c...

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Main Authors: Sheng-Hsun Hsieh, Yung-Hui Li, Wei Wang, Chung-Hao Tien
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/3/795
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author Sheng-Hsun Hsieh
Yung-Hui Li
Wei Wang
Chung-Hao Tien
author_facet Sheng-Hsun Hsieh
Yung-Hui Li
Wei Wang
Chung-Hao Tien
author_sort Sheng-Hsun Hsieh
collection DOAJ
description 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.
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spelling doaj.art-774ba4bf7ca94a138e6252e5067cb2c72022-12-22T02:22:09ZengMDPI AGSensors1424-82202018-03-0118379510.3390/s18030795s18030795A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA AnalysisSheng-Hsun Hsieh0Yung-Hui Li1Wei Wang2Chung-Hao Tien3Department of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, TaiwanDepartment of Computer Science & Information Engineering, National Central University, 300 Zhongda Road, Zhongli District, Taoyuan 32001, TaiwanDepartment of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, TaiwanDepartment of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, TaiwanIn 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.http://www.mdpi.com/1424-8220/18/3/795spectral imagingindependent component analysisiris recognition
spellingShingle Sheng-Hsun Hsieh
Yung-Hui Li
Wei Wang
Chung-Hao Tien
A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis
Sensors
spectral imaging
independent component analysis
iris recognition
title A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis
title_full A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis
title_fullStr A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis
title_full_unstemmed A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis
title_short A Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysis
title_sort novel anti spoofing solution for iris recognition toward cosmetic contact lens attack using spectral ica analysis
topic spectral imaging
independent component analysis
iris recognition
url http://www.mdpi.com/1424-8220/18/3/795
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