Iris Recognition Template Storage for Pupil Size Adaptation
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Solution Overview
Problem
Iris recognition systems face challenges in varying environmental conditions, particularly due to changes in pupil size caused by brightness, which can lead to decreased recognition accuracy.
Innovation Solution
An electronic device with a light emitting unit and image acquiring circuitry that captures and processes iris images, stores reference templates, and authenticates subsequent images using these templates, even under different illumination conditions, by adjusting for pupil size variations and storing additional templates for improved recognition rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single reference iris template is stored for authentication, then the system structure remains simple, but the recognition accuracy deteriorates under varying illumination conditions due to pupil size changes
Solution Approach 1:
The patent segments the reference template into multiple components: a first reference template captured under controlled illumination conditions and additional reference templates captured under different illumination conditions. This segmentation allows the system to select appropriate templates based on current environmental conditions, improving recognition accuracy without requiring a completely complex system structure.
Solution Approach 2:
The patent performs preliminary action by capturing and storing multiple reference templates under various illumination conditions before actual authentication occurs. This preparatory step ensures that when authentication is needed, the system already has pre-captured templates ready for comparison, eliminating the need for complex real-time adjustments and improving both accuracy and efficiency.
2Reliability
If the pupil size changes due to brightness variations, then the iris image captured becomes less similar to the reference template, but the environmental conditions cannot be controlled
Solution Approach 1:
The patent applies parameter changes by capturing reference templates under different illumination parameters (brightness levels). Instead of trying to control the environmental conditions, the system adapts by having pre-captured templates with varying illumination parameters, allowing it to select the most appropriate template for current conditions and maintain high authentication success rates.
Solution Approach 2:
The patent implements dynamics by making the template selection process adaptive rather than static. The system dynamically selects which reference template to use based on current illumination conditions, transforming from a fixed single-template approach to a flexible multi-template approach that adapts to environmental changes.
3Reliability
If multiple iris templates are stored for different conditions, then the recognition accuracy under varying conditions improves, but the memory storage requirement increases
Solution Approach 1:
The patent applies partial action by storing multiple reference templates rather than a single template. This provides excessive coverage of possible illumination conditions, ensuring that at least one suitable template is available for comparison. The system captures more templates than strictly necessary to guarantee high recognition accuracy across all possible conditions.
Solution Approach 2:
The patent uses copying by creating multiple copies of the iris template under different illumination conditions. Instead of storing one master template and attempting complex transformations, the system creates simplified copies captured under various conditions, making the authentication process more robust without requiring complex processing algorithms.
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
Enhances iris recognition accuracy by adapting to varying environmental conditions and storing multiple templates for improved authentication success rates, thereby improving user authentication reliability.
Implementation Method 1
a light emitting unit comprising light emitting circuitry disposed in a second region of the first surface
Implementation Method 2
the electronic device may analyze light reflected from the user's iris
Data Source
AI summary
An electronic device for iris recognition and an operating method thereof are provided. The electronic device includes a housing including a first surface, a display exposed through a first region of the first surface, a light emitting unit comprising light emitting circuitry disposed in a second region of the first surface, an image device comprising image acquiring circuitry disposed in a third region of the first surface, at least one processor disposed within the housing and electrically connected with the display, the light emitting unit and the image device, and a memory disposed within the housing and electrically connected with the at least one processor. The memory stores instructions that, when executed by the processor, cause the electronic device to store a reference template based on a first iris image which has been recognized using the light emitting unit and the image device, to authenticate a second iris image which has been recognized using the light emitting unit and the image device, using the stored reference template, and to store a template of the second iris image succeeded in authentication, as an additional template.