Iris Recognition Contact Lens Detection
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Solution Overview
Problem
Iris recognition systems face challenges in accurately identifying users when contact lenses, particularly cosmetic and hard contact lenses, obstruct or alter the original iris pattern, potentially leading to security vulnerabilities and incorrect identification.
Innovation Solution
An apparatus and method that utilize an image capturing unit and control unit to detect and classify contact lenses by analyzing curved features, edge maps, and pattern information in the iris and sclera regions, distinguishing between hard, cosmetic, and clear soft contact lenses to determine their impact on iris recognition and adjust the recognition process accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If contact lenses are worn for beauty or vision correction, then personal appearance or eyesight is improved, but the original iris pattern is obstructed and iris recognition accuracy deteriorates
Solution Approach 1:
The system performs preliminary detection of contact lens presence and type before executing iris recognition. By examining curved features in the iris region and analyzing boundary thickness between sclera and iris regions, the system identifies contact lens characteristics in advance, allowing it to adjust the recognition process accordingly and maintain accuracy despite contact lens obstruction
Solution Approach 2:
The system applies different processing strategies based on the local characteristics of contact lens types. For hard contact lenses, it compensates for edge obstructions by adjusting the iris region boundaries. For cosmetic soft contact lenses, it analyzes pattern information to distinguish artificial from natural iris patterns. For clear soft contact lenses, it performs standard recognition as they have minimal impact
2Adaptability or versatility
If cosmetic contact lenses are used to change appearance, then aesthetic preference is satisfied, but security vulnerability increases due to pattern copying and impersonation risk
Solution Approach 1:
The system detects artificial patterns on cosmetic contact lenses by analyzing the regularity and uniformity of iris patterns. Cosmetic contact lenses often exhibit overly perfect symmetry or repetitive patterns that differ from natural iris complexity. By examining pattern information and comparing it against expected natural variations, the system identifies copied or artificial patterns, preventing impersonation attacks
Solution Approach 2:
The system provides feedback by notifying users when contact lenses are detected, particularly cosmetic lenses that may compromise security. This feedback mechanism allows users to be aware of the detection status and enables the system to adjust its recognition threshold or require additional verification methods when cosmetic lenses are present
3Reliability
If hard contact lenses are worn for vision correction, then visual acuity is improved, but iris pattern visibility is reduced and recognition performance deteriorates
Solution Approach 1:
The system performs preliminary detection of hard contact lens presence by examining curved features in the iris region before iris recognition. By identifying the characteristic curved edges of hard contact lenses in advance, the system can adjust the iris region boundaries to exclude the obstructed areas, thereby maintaining measurement precision despite the visual correction benefit provided by the lenses
Data Source
AI summary
An apparatus for recognizing iris in an eye is provided. An image collecting unit collects an image of the eye. A control unit detects whether a user wears a contact lens, based on an edge component on the image of the eye.


