Eyeprint Recognition Exposure Adjustment for Mobile Terminals
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Solution Overview
Problem
Eyeprint recognition on mobile terminals often fails due to underexposure or overexposure, leading to poor image quality and slower recognition speeds, making it inconvenient for users to unlock their devices.
Innovation Solution
An image exposure method that detects the brightness of the eyeball position and adjusts the exposure parameters to achieve a target brightness of 128 gray-levels, ensuring optimal image capture for eyeprint recognition by adjusting signal amplification and exposure time based on the acquired brightness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional exposure parameters are used for eyeprint recognition, then the recognition process can be completed, but the image quality deteriorates due to underexposure or overexposure resulting in poor eyeprint recognition speed and accuracy
Solution Approach 1:
The patent applies preliminary action by acquiring a preview image before the actual eyeprint recognition image, analyzing the brightness of the eyeball region in advance, and pre-adjusting the exposure parameters based on this analysis. This ensures that when the actual recognition image is captured, the exposure is already optimized, preventing underexposure or overexposure issues and ensuring high image quality for accurate eyeprint recognition.
2Loss of information
If the front-facing camera captures eye images for recognition, then eyeprint data can be acquired, but the exposure configuration fails due to different exposure levels in different regions resulting in too dark or too bright eyes
Solution Approach 1:
The patent implements feedback by capturing a preview image, detecting the brightness of the eyeball region, and using this detected information to adjust the exposure parameters before capturing the actual eyeprint recognition image. This closed-loop feedback mechanism ensures that the exposure is properly configured based on actual lighting conditions, preventing the eye region from being too dark or too bright and ensuring high-quality eyeprint data acquisition.
3Productivity
If standard image capture is used without brightness adjustment, then the capture process is simple, but the recognition speed decreases due to poor image quality from incorrect exposure
Solution Approach 1:
The patent applies preliminary action by performing brightness analysis and exposure parameter adjustment in advance during the preview phase, before the actual eyeprint recognition image is captured. Although this adds some complexity to the process, it ensures that the actual recognition image is captured with optimal exposure settings, thereby maintaining high recognition speed and accuracy without requiring complex real-time adjustments during the critical recognition moment.
Data Source
AI summary
An image exposure method for a mobile terminal may be based on eyeprint recognition and an image exposure system, wherein the image exposure method may include acquiring image data through a camera when it is detected that the mobile terminal turns on the eyeprint recognition; positioning an eyeball at an eyeball position, and acquiring a brightness parameter of the eyeball position; and querying a prestored exposure parameter corresponding to the acquired brightness parameter, adjusting the exposure parameter, and exposing the eyeball at the eyeball position according to the adjusted exposure parameter.