Under-screen Fingerprint Sensor Using Multi-color Pixel Array and Flat-field Correction
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Solution Overview
Problem
Current fingerprint sensing technologies struggle to differentiate real fingers from fake ones, especially in varying sensing environments, leading to incorrect identifications.
Innovation Solution
An under-screen fingerprint sensing device with a pixel array comprising first, second, and third color pixels, which outputs original values that undergo flat-field correction (FFC) to determine whether the target object is a real finger by satisfying preset conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current fingerprint sensing technology is used, then fingerprint sensing function is provided, but the technology cannot effectively differentiate real finger from fake finger
Solution Approach 1:
The pixel array is divided into multiple color channels (first color pixel, second color pixel, third color pixel) that independently sense different spectral characteristics. This segmentation allows the system to capture multiple dimensions of fingerprint information, enabling differentiation between real and fake fingers based on their distinct spectral signatures.
Solution Approach 2:
The patent applies flat-field correction (FFC) processing to transform the raw color original values into corrected color values. This parameter transformation compensates for sensor non-uniformities and environmental variations, enhancing the reliability of fingerprint authentication by ensuring consistent measurement parameters across different sensing conditions.
2Ease of operation
If current fingerprint sensing technology is used, then sensing function operates, but it is easily affected by sensing environment changes
Solution Approach 1:
The flat-field correction process dynamically adjusts the color original values based on preset conditions and environmental characteristics. By transforming raw sensor data into corrected values that compensate for environmental variations, the system maintains reliable fingerprint sensing across different lighting and temperature conditions.
Solution Approach 2:
The system incorporates a feedback mechanism where the processor evaluates whether corrected color values satisfy preset conditions. This feedback loop allows the system to adapt to environmental changes by comparing actual measurements against expected ranges, thereby maintaining sensing reliability under varying operational conditions.
3Measurement precision
If multi-color pixel array with FFC processing is implemented, then real finger differentiation accuracy is improved, but device complexity increases
Solution Approach 1:
The pixel array serves multiple functions by incorporating different color pixels that can simultaneously perform fingerprint sensing, spectral analysis, and environmental adaptation. This multi-functionality allows the same hardware structure to achieve enhanced authentication accuracy without requiring separate dedicated components for each function.
Solution Approach 2:
The flat-field correction parameters and preset conditions are pre-configured during system initialization or manufacturing. This preliminary action prepares the correction algorithms and decision thresholds in advance, reducing the computational burden during actual fingerprint sensing operations and simplifying the real-time processing 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
Effectively determines the authenticity of the target object as a real finger through corrected color values, enhancing security and accuracy in fingerprint recognition.
Implementation Method 1
When the fingerprint sensor senses the target object, the first color pixel, the second color pixel and the third color pixel output the first color original value, the second color original value and the third color original value respectively
Data Source
AI summary
An under-screen fingerprint sensing device and a fingerprint sensing method are provided. The under-screen fingerprint sensing device includes a fingerprint sensor and a processor. When the fingerprint sensor senses a target object, a first color pixel, a second color pixel, and a third color pixel of the fingerprint sensor respectively output a first color original value, a second color original value, and a third color original value. The processor performs FFC on the first color original value, the second color original value, and the third color original value respectively to generate a first color correction value, a second color correction value, and a third color correction value. The processor determines whether the target object is a real finger according to the first color correction value, the second color correction value, and the third color correction value.