Eyeprint Recognition Image Cropping Bandwidth Optimization
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Solution Overview
Problem
Existing eyeprint recognition technologies face issues with high bandwidth usage and low transmission speed due to the need for full-resolution eye image processing and transmission, which results in bandwidth waste and potential loss of eye details.
Innovation Solution
A method and system that utilize a 1080p image cropping technique with specific registers to isolate and process only the eye region of the image, reducing data transmission and improving recognition accuracy by ensuring the eye image is centered and processed efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full-resolution eye image is transmitted for processing, then recognition accuracy may be improved, but bandwidth usage increases and transmission speed decreases
Solution Approach 1:
The patent divides the full-resolution eye image into multiple resolution levels, transmitting only the necessary high-resolution portions (eye details) while using lower resolution for other areas. This segmentation allows recognition accuracy to be maintained for critical regions while reducing overall bandwidth consumption.
Solution Approach 2:
The patent applies different quality levels to different regions of the image, ensuring high resolution only where eyeprint features are located while using lower resolution for surrounding areas. This local quality approach maintains recognition accuracy in critical zones while reducing total data transmission requirements.
2Measurement precision
If full-resolution eye image is transmitted for processing, then recognition accuracy may be improved, but transmission speed decreases
Solution Approach 1:
The patent segments the image transmission into priority levels, sending high-resolution eye region data first and lower-resolution surrounding areas subsequently. This segmentation enables faster initial transmission of critical recognition data while maintaining overall image quality.
Solution Approach 2:
The patent transmits only the necessary portion of the image at full resolution (the eye region containing biometric features) rather than the entire image. This partial action approach achieves recognition accuracy with reduced transmission time and bandwidth usage.
3Productivity
If only eye texture information is utilized for recognition, then processing efficiency may be improved, but other useful image information is discarded
Solution Approach 1:
The patent extracts and transmits eye texture information separately from the rest of the image data, allowing rapid processing of biometric features while preserving other image information for potential secondary uses such as authentication logging or additional verification methods.
Data Source
AI summary
A method and a system for unlocking a mobile terminal on the basis of a high-quality eyeprint image may include collecting an original image of a current user by utilizing a front-facing camera when the mobile terminal needs to be unlocked; carrying out a 1080p image cropping on the original image by means of a register configured for the front-facing camera to obtain an eye image located in a special area of the original image; carrying out an eyeprint analysis and processing on the eye image to acquire eyeprint information of the current user; making a comparison between the eyeprint information and prestored eyeprint information to judge whether the comparison result shows that they are identical or not; and unlocking the mobile terminal if it is judged that they are identical.