Iris Recognition Image Selection Using Eye Tracking
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Solution Overview
Problem
Iris recognition technologies face challenges with low precision and long recognition times due to the need for high magnification, which results in a small imaging depth-of-field and sensitivity to improper image pickup positions, leading to poor image quality and potential detection failures.
Innovation Solution
The method involves using eye tracking technology to detect a user's line of sight and acquire an image that meets specified conditions, determining it as an iris recognition image, thereby improving precision and reducing recognition time by selecting the most suitable image for iris recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the magnification of the optical system is increased to meet the image resolution requirement, then the image resolution is improved, but the imaging depth-of-field becomes smaller
Solution Approach 1:
The patent applies preliminary action by using eye tracking technology to detect the user's line of sight and determine the optimal image pickup position before actually capturing the iris image. This preliminary detection of gaze direction allows the system to pre-calculate the best positioning parameters, ensuring that when the image is captured, the user is already positioned optimally, thus resolving the contradiction between high magnification and limited depth-of-field.
2Measurement precision
If the magnification of the optical system is increased to meet the image resolution requirement, then the image resolution is improved, but the recognition time becomes longer
Solution Approach 1:
The patent uses eye tracking to perform preliminary detection of the user's gaze direction and line of sight before iris recognition. This preliminary action identifies the optimal image pickup position in advance, allowing the system to capture the image at the correct moment without requiring time-consuming iterative adjustments during the recognition process, thereby reducing overall recognition time while maintaining high image resolution.
Solution Approach 2:
The system incorporates feedback by continuously monitoring the user's line of sight through eye tracking and using this information to adjust the image pickup timing and positioning. This feedback mechanism ensures that images are captured only when the user is positioned optimally, avoiding repeated failed captures and reducing the total time required for successful iris recognition.
3Measurement precision
If the magnification of the optical system is increased to meet the image resolution requirement, then the image resolution is improved, but the sensitivity to improper image pickup position increases
Solution Approach 1:
The patent applies preliminary action by detecting the user's line of sight and determining the optimal image pickup position before capture. This preliminary positioning guidance eliminates the sensitivity issue by ensuring the user is already in the correct position when imaging occurs, rather than relying on post-capture adjustments or tolerant positioning ranges.
Solution Approach 2:
The patent introduces eye tracking technology as an intermediary between the user and the image capture process. This intermediary system provides real-time guidance and feedback about the user's positioning relative to the optimal capture position, mediating the interaction to ensure high-resolution images are captured reliably even with high magnification settings.
4Measurement precision
If eye tracking is used to screen user images before iris recognition, then the precision of iris recognition is improved, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing the eye tracking system to serve multiple functions: it detects line of sight, determines optimal image pickup position, guides user positioning, and filters suitable images for iris recognition. This multi-functionality reduces the need for separate dedicated systems, thereby limiting the increase in device complexity while achieving improved iris recognition precision.
Data Source
AI summary
Provided are a method and a device for determining an iris recognition image, a terminal apparatus and a storage medium. The method includes: detecting a line of sight of a user; acquiring a user image based on the line of sight of the user; and if the user image meets a specified condition, determining the user image as the iris recognition image. With the method, the accuracy of iris recognition during iris recognition is improved, and the time for iris recognition is reduced.