Under-screen Fingerprint Recognition Environment Adaptation
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Solution Overview
Problem
Existing under-screen fingerprint identification technologies face challenges in maintaining accuracy due to variations in external environments, particularly in strong lighting conditions, without the need for additional hardware.
Innovation Solution
A method for fingerprint identification that dynamically adjusts processing parameters by comparing the collected fingerprint image with a pre-stored reference image, allowing for quick judgment of the collection environment and improvement of fingerprint imaging quality without additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamic adjustment of operating parameters is implemented to adapt to different light environments, then fingerprint identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent dynamically adjusts operating parameters (exposure time, gain, illumination intensity) based on detected light environment conditions. The system monitors ambient light levels and modifies fingerprint imaging parameters in real-time to maintain optimal image quality across varying lighting conditions, thereby improving identification accuracy without adding hardware components
Solution Approach 2:
The system performs self-adjustment by automatically detecting light environment conditions and modifying its own operating parameters. The fingerprint imaging device monitors its own performance and adapts exposure time, gain, and illumination settings without external intervention, enabling the system to maintain accuracy across different environments while avoiding additional control hardware
2Measurement precision
If multiple fingerprint images are collected and processed to determine collection environment, then environmental judgment accuracy is improved, but identification time increases
Solution Approach 1:
The system pre-processes and stores reference fingerprint images obtained under known light environment conditions. By having reference data prepared in advance, the system can quickly compare newly captured images against these pre-stored references to rapidly determine the current light environment without requiring extensive real-time analysis or multiple image captures
Solution Approach 2:
The patent compares specific key features of fingerprint images (such as ridge patterns, contrast characteristics, and pixel intensity distributions) rather than analyzing entire images in full detail. This partial analysis approach enables sufficient environmental judgment accuracy while significantly reducing processing time and computational resources required
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
This approach enhances the efficiency and accuracy of fingerprint identification by quickly determining the collection environment and adjusting processing parameters accordingly, thereby improving the overall performance of the fingerprint identification apparatus.
Implementation Method 1
a light emitting unit configured to emit light
Implementation Method 2
imaging is performed according to the difference of reflection abilities of a ridge and a valley of a fingerprint to light
Implementation Method 3
an optical sensor configured to obtain a fingerprint image according to reflected light carrying fingerprint information
Data Source
Figure 1A~1B
Figure 2~3
Figure 4~5
AI summary
A fingerprint identification method, includes: collecting a first fingerprint image according to a sampling parameter; determining a collection environment of the first fingerprint image according to the first fingerprint image and a pre-stored reference image, wherein the reference image is a fingerprint image obtained under a reference light environment; processing the first fingerprint image according to a processing parameter corresponding to the collection environment; and performing fingerprint identification according to the processed first fingerprint image. By pre-storing the reference image, the present application can quickly judge the collection environment of the fingerprint by collecting only one fingerprint image, which saves time for collecting the fingerprint image and judging the collection environment, and improves the identification efficiency of the fingerprint effectively.