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dc.contributor.authorHsieh, Sheng-Hsunen_US
dc.contributor.authorLi, Yung-Huien_US
dc.contributor.authorWang, Weien_US
dc.contributor.authorTien, Chung-Haoen_US
dc.date.accessioned2018-08-21T05:53:30Z-
dc.date.available2018-08-21T05:53:30Z-
dc.date.issued2018-03-01en_US
dc.identifier.issn1424-8220en_US
dc.identifier.urihttp://dx.doi.org/10.3390/s18030795en_US
dc.identifier.urihttp://hdl.handle.net/11536/144769-
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.subjectspectral imagingen_US
dc.subjectindependent component analysisen_US
dc.subjectiris recognitionen_US
dc.titleA Novel Anti-Spoofing Solution for Iris Recognition Toward Cosmetic Contact Lens Attack Using Spectral ICA Analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/s18030795en_US
dc.identifier.journalSENSORSen_US
dc.citation.volume18en_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.identifier.wosnumberWOS:000428805300116en_US
Appears in Collections:Articles