Iris Recognition Guidance via Visible Light Pixel Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current human-machine interface systems for iris identification on mobile terminals suffer from low user experience and security due to unattractive monochrome images and inconsistencies in image guidance, leading to errors in viewing angle and gaze field, which affect identification speed and security.
Innovation Solution
A system combining a near-infrared imaging module with a visible light imaging module and a display screen, where the visible light image is subjected to pixel adjustments such as center position pixel offset and local area ROI selection processing, ensuring consistent image ranges and improved user guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If monochrome near-infrared images are used for iris identification guidance, then the security and functionality of identification are maintained, but the user experience and visual appeal deteriorate due to unattractive appearance and low contrast
Solution Approach 1:
The patent introduces a visible light imaging module as an intermediary component that captures visible light images to serve as guidance displays. These visible light images act as a mediator between the near-infrared imaging module (which provides secure identification) and the user (who needs attractive visual feedback). The visible light images are superimposed with virtual markers to guide users while maintaining the security of near-infrared-based iris recognition.
Solution Approach 2:
The patent creates a visible light copy of the iris image to use as guidance display instead of directly displaying the monochrome near-infrared image. This copy is generated by the visible light imaging module and is then processed with pixel adjustments and virtual marker superposition. The copy provides visual appeal and guidance functionality without compromising the original near-infrared image's security properties.
2Ease of operation
If visible light images are used for guidance display, then user experience and visual appeal are improved, but image consistency and guidance accuracy deteriorate due to inconsistencies between visible light and near-infrared image ranges
Solution Approach 1:
The patent applies parameter changes to the visible light image through pixel adjustment operations. Specifically, it performs center position pixel offset adjustment to correct misalignment between visible light and near-infrared image centers, and applies ROI (region of interest) pixel selection to adjust the display range. These parameter adjustments ensure that the visible light guidance image maintains consistent image range and positioning with the near-infrared identification image.
Solution Approach 2:
The patent replaces physical/optical alignment mechanisms with computational image processing methods. Instead of mechanically aligning the visible light and near-infrared imaging modules, it uses software-based pixel offset adjustment and coordinate transformation to achieve precise alignment. This substitution allows for flexible and accurate alignment correction without complex mechanical adjustments.
3Ease of operation
If fingerprint identification is used for mobile terminal security, then ease of use is improved, but security deteriorates due to static nature and ease of copying
Solution Approach 1:
The patent changes the fundamental parameter of the biometric feature from static (fingerprint) to dynamic (iris). The iris identification system captures real-time iris images with near-infrared imaging, and the system processes these images with various parameters such as pupil detection, iris pattern recognition, and liveness detection. This dynamic approach makes the identification more secure while maintaining ease of use through automated capture and processing.
4Measurement precision
If pixel adjustment processing is applied to visible light images, then image consistency and guidance accuracy are improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The patent implements self-service through automated image processing algorithms that automatically perform pixel offset adjustment and ROI selection without requiring manual intervention. The system automatically detects the iris region, calculates the appropriate pixel offsets, and adjusts the visible light image parameters to match the near-infrared image range. This automation reduces the operational complexity despite the additional processing steps.
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 user experience and identification speed by maintaining image consistency and reducing errors, providing a more secure and intuitive iris identification process on mobile terminals.
Implementation Method 1
the near-infrared imaging module is used for obtaining a near-infrared iris image
Implementation Method 2
the visible light imaging module is used for obtaining a visible light image
Data Source
AI summary
A human machine interface system (100) and method of providing guidance and instruction for iris recognition on a mobile terminal. The system comprises: a near infrared imaging module (101), a visible light imaging module (102), and a display screen (103). The visible light imaging module (102) has an optical image acquisition area covering that of the near infrared imaging module (101). The display screen (103) displays a visible light image produced by preconfigured pixel adjustment. The preconfigured pixel adjustment comprises acquiring the invisible light image by performing a relative image center pixel shift process and/or a local area ROI pixel selection process.