Iris Verification Using Pupil Response to Light
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Iris recognition systems are vulnerable to illegitimate access attempts using printed iris images, contact lenses with iris patterns, and counterfeit irises, necessitating a method to differentiate between real and artificial irises during authentication.
Innovation Solution
The method involves capturing images of the iris with a lighting unit turned on and off, calculating pupil-to-iris radius ratios, determining radius ratio change rates, indexing and averaging these rates, and comparing them against predefined threshold values to verify the authenticity of the iris.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional iris recognition is used, then authentication speed is fast, but security against artificial irises is weak
Solution Approach 1:
The system performs preliminary actions by capturing multiple images with alternating lighting conditions before final verification. This preliminary capture of images under different lighting states enables subsequent analysis of pupil response characteristics, thereby enhancing security against artificial irises without significantly increasing overall system complexity
Solution Approach 2:
The lighting unit alternates periodically between on and off states during image capture. This periodic lighting action induces natural pupil size changes in real human eyes, creating distinguishable patterns that enable the system to differentiate between real and artificial irises while maintaining a relatively simple verification process
2Measurement precision
If multiple images are captured with lighting alternation, then accuracy of real iris detection is improved, but processing time increases
Solution Approach 1:
The system captures a specific number of images (e.g., 20 images with 10 lighting on/off cycles) which is sufficient to accurately detect real iris characteristics through pupil response analysis, rather than capturing excessive numbers of images. This partial action approach achieves high detection accuracy while controlling processing time
Solution Approach 2:
Multiple images are captured in advance with alternating lighting conditions, performing the data collection work beforehand. This preliminary action enables efficient processing during verification since all necessary images are already captured and can be quickly analyzed for pupil response patterns
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
This approach effectively differentiates between real human irises and artificial ones by analyzing the natural pupil size variation in response to light, enhancing the security of iris recognition systems.
Implementation Method 1
inducing a user's pupil size to change during an iris authentication process
Data Source
AI summary
An iris verification method is provided. According to the iris verification method, it is possible to determine whether the iris to be authenticated is a real human iris during an iris authentication process. Also, according to the iris verification method, it is possible to determine, with precision, whether iris images to be authenticated are real human iris images.