Under-Screen Fingerprint Sensing With Adaptive Light Capture
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Solution Overview
Problem
Existing under-screen fingerprint identification technologies face challenges in maintaining accuracy due to variations in external environments, leading to issues with false rejection and acceptance rates.
Innovation Solution
A fingerprint identification method and apparatus that utilize a pixel array and a colour filter layer with filter units to determine the fingerprint identification environment based on light signal intensity, adjusting capturing parameters such as exposure time and gain to optimize fingerprint light signal capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed capturing parameters are used for fingerprint identification, then the device complexity is reduced, but the accuracy of fingerprint identification deteriorates under varying environmental conditions
Solution Approach 1:
The system automatically detects ambient light conditions and adjusts capturing parameters without user intervention. The processing unit monitors environmental changes and dynamically modifies exposure time, gain, and other parameters to maintain optimal fingerprint identification accuracy across varying lighting conditions.
Solution Approach 2:
The patent dynamically changes capturing parameters (exposure time, gain, aperture) based on detected environmental conditions. By adjusting these parameters in real-time according to ambient light levels and other environmental factors, the system maintains high identification accuracy without requiring complex hardware modifications.
2Measurement precision
If capturing parameters are adjusted to adapt to environmental changes, then the accuracy of fingerprint identification is improved, but the response time increases due to environmental detection and parameter adjustment
Solution Approach 1:
The system performs preliminary detection of ambient light conditions and pre-adjusts capturing parameters before the actual fingerprint capture. By anticipating environmental variations and preparing appropriate parameters in advance, the system minimizes delays during the actual identification process.
Solution Approach 2:
The system continuously monitors environmental conditions and uses feedback loops to dynamically adjust capturing parameters. The processing unit receives real-time data about ambient light and other environmental factors, then automatically modifies parameters to maintain optimal performance, creating a closed-loop control system that responds efficiently to changes.
3Adaptability or versatility
If multiple capturing parameters are dynamically adjusted, then the adaptability to different environments is improved, but the device complexity increases
Solution Approach 1:
The processing unit serves multiple functions: it detects ambient light conditions, determines environmental categories, selects appropriate capturing parameters, and controls the capture process. By consolidating these functions into a single intelligent processing unit, the system achieves high adaptability without proportionally increasing overall device complexity.
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
Improves the accuracy of fingerprint identification by accurately determining the environmental conditions and adjusting capturing parameters, thereby reducing false rejection and acceptance rates.
Implementation Method 1
capturing a first light signal transmitting through the at least one filter unit and sensed by the first type pixel
Implementation Method 2
the colour filter layer includes at least one filter unit, and the at least one filter unit is disposed above at least one first type pixel of the pixel array
Data Source
AI summary
Embodiments of the present application provide a fingerprint identification method, a fingerprint identification apparatus and an electronic device. The fingerprint identification method is applied to a fingerprint identification apparatus disposed under a display screen of an electronic device, the fingerprint identification apparatus includes a pixel array and a colour filter layer, the colour filter layer includes at least one filter unit, and the at least one filter unit is disposed above at least one first type pixel of the pixel array, respectively, and the method includes: capturing a first light signal transmitting through the at least one filter unit and sensed by the first type pixel; determining a fingerprint identification environment according to an intensity of the first light signal; and determining, based on the fingerprint identification environment, a target capturing parameter of capturing a fingerprint light signal, the fingerprint light signal being used for fingerprint identification.