Polarized Eye Authentication Combining Cornea and Iris Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Iris authentication techniques face challenges with low accuracy and vulnerability to spoofing devices, particularly false eyes created with imitated corneas, which existing methods struggle to differentiate effectively.
Innovation Solution
An authentication apparatus and method utilizing a combination of corneal and iris authentication information, acquired through polarized light imaging, generate amplitude, phase, and average images to enhance accuracy by leveraging unique polarization optical characteristics of the cornea and iris, thereby improving identification precision and countermeasures against false eyes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iris authentication technique is used, then authentication capability is provided, but accuracy is low and vulnerability to spoofing devices occurs
Solution Approach 1:
The patent combines iris authentication and cornea authentication into a unified system. The control circuit performs both iris recognition and cornea polarization image recognition simultaneously, merging two authentication methods to overcome the low accuracy and spoofing vulnerability of iris-only authentication while maintaining system manageability.
Solution Approach 2:
The patent uses composite authentication information from both iris and cornea regions. By extracting features from both the iris area and the cornea area (including polarization characteristics), the system creates a composite authentication profile that is more difficult to spoof and provides higher accuracy than single-region authentication.
2Measurement precision
If polarized light imaging is used to capture multiple eyeball images, then authentication accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the imaging system multi-functional by enabling it to capture both conventional intensity images and polarization images using the same camera hardware. The control circuit processes images to extract both intensity information and polarization information, allowing one device to perform multiple authentication functions without requiring separate imaging systems.
Solution Approach 2:
The patent changes the polarization parameter of the illumination light to capture multiple eyeball images with different polarization directions. By varying the polarization angle of the incident light and capturing images at different orientations, the system extracts polarization characteristics that enhance authentication accuracy without fundamentally changing the imaging hardware.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution achieves high-accuracy eye authentication by integrating corneal and iris information, significantly reducing false acceptance rates and enhancing the detection of false eyes, thus providing robust personal identification.
Implementation Method 1
an illumination device that outputs light having a first polarization direction
Implementation Method 2
a camera that takes a first eyeball image of a user, a second eyeball image of the user, and a third eyeball image of the user, the first eyeball image having a second polarization direction
Data Source
AI summary
An authentication apparatus includes: an illumination device outputting light having a first polarization direction; a camera taking a first eyeball image, a second eyeball image, and a third eyeball image, of the user, which have a second polarization direction, a third polarization direction, a fourth polarization direction, respectively; and a control circuit. The control circuit (a) acquires cornea authentication information and iris authentication information, (b) generates an amplitude image, a phase image, and an average image, using the first eyeball image, the second eyeball image, and the third eyeball image, (c) authenticates a user ID corresponding to the average image, by referring to the iris authentication information, (d) authenticates a user ID corresponding to the amplitude image and the phase image, by referring to the cornea authentication information, and (e) determines a user ID corresponding to the user, using authentication results of the user ID in (c) and (d).


