Invention Grant
- Patent Title: Method of textured contact lens detection
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Application No.: US17264495Application Date: 2019-10-24
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Publication No.: US11768926B2Publication Date: 2023-09-26
- Inventor: Adam Czajka , Kevin Bowyer , Zhaoyuan Fang
- Applicant: UNIVERSITY OF NOTRE DAME DU LAC
- Applicant Address: US IN South Bend
- Assignee: University of Notre Dame Du Lac
- Current Assignee: University of Notre Dame Du Lac
- Current Assignee Address: US IN South Bend
- Agency: WORKMAN NYDEGGER
- International Application: PCT/US2019/057829 2019.10.24
- International Announcement: WO2020/086824A 2020.04.30
- Date entered country: 2021-01-29
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/20 ; G06F21/32 ; G06V40/40 ; G06V40/18

Abstract:
Systems and methods for detecting textured contact lenses in an iris image are disclosed. Initially, “K” images are taken of an eye in near-infrared light, each for a different positioning of the illuminant. Three-dimensional properties of the hypothetical iris are estimated based on image processing methods. The variability of the estimated three-dimensional properties is calculated, and a classification into two classes is made based on the variability. A low variability denotes that an authentic iris pattern was presented to the sensor, whereas a high variability denotes that the sensor observes an eye wearing a textured contact lens. The systems and methods disclosed allow for detecting presentation attacks to iris recognition systems/sensors based on presentation of an eye wearing a textured contact lens in an automatic and accurate way.
Public/Granted literature
- US20210319239A1 METHOD OF TEXTURED CONTACT LENS DETECTION Public/Granted day:2021-10-14
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