Under-screen Fingerprint Texture Recognition with Light Valve Control
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Solution Overview
Problem
Current fingerprint recognition technologies face challenges in optimizing texture recognition devices for mobile terminals, particularly in achieving effective under-screen fingerprint recognition with minimal residual images and improved screen proportion, due to limitations in light source and image sensor arrangements.
Innovation Solution
A texture recognition device comprising a light source array, an image sensor array, and a light valve structure, where the light valve structure controls regions to be in different light transmission states to form multiple photosensitive light sources, allowing for efficient texture image collection by adjusting light transmission based on touch position and area, utilizing a liquid crystal panel with pixel units and image sensors arranged strategically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a light source array and image sensor array are arranged under the screen for fingerprint recognition, then under-screen fingerprint recognition function is achieved, but residual images appear and screen proportion is reduced
Solution Approach 1:
The light source array is divided into multiple independently controllable light sources arranged in specific patterns (e.g., linear, circular, or matrix arrangements). The image sensor array is segmented into corresponding sensor groups that can be selectively activated. This segmentation allows only the necessary light sources and sensors to be activated during fingerprint recognition, minimizing residual image generation while maintaining recognition functionality.
Solution Approach 2:
Different regions of the light source array are assigned different functions: some regions emit light for active fingerprint scanning while other regions remain dark or emit minimal light to reduce residual images. The image sensor array similarly has active detection regions and inactive regions. This local differentiation allows the system to achieve fingerprint recognition in specific areas while minimizing overall residual image generation.
2Adaptability or versatility
If light source array and image sensor array are arranged under the screen, then fingerprint recognition is enabled, but screen proportion decreases
Solution Approach 1:
The light source array and image sensor array are integrated into a single under-screen module structure, sharing common support structures, wiring layers, and control circuits. This merging reduces the total space required compared to separate implementations, allowing fingerprint recognition functionality to be added while minimizing the impact on screen proportion.
Solution Approach 2:
The system transitions from traditional side-mounted or top-mounted fingerprint sensors to an under-screen configuration, utilizing the vertical dimension beneath the display. By arranging light sources and sensors in specific three-dimensional patterns (e.g., alternating layers, focal point arrangements), the system achieves effective fingerprint scanning in a compact volume, preserving screen real estate.
3Measurement precision
If multiple light sources are activated for comprehensive texture imaging, then imaging coverage is improved, but residual images increase
Solution Approach 1:
Multiple light sources are activated in sequential periods rather than simultaneously. Different groups of light sources are turned on in alternating time intervals, with each group covering different regions of the fingerprint. The image sensor captures images during each period, and the controller synthesizes the complete fingerprint texture from these sequential captures. This periodic activation reduces residual images while maintaining comprehensive imaging coverage.
Solution Approach 2:
The controller pre-calculates the optimal activation sequence for light sources based on the fingerprint recognition requirements. Before actual fingerprint scanning, the system determines which light sources should be activated in each time period to achieve complete coverage with minimal residual images. This preliminary planning allows efficient coordination between light source activation and sensor capture.
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 solution enhances the effectiveness of under-screen fingerprint recognition by minimizing residual images and increasing the screen proportion, enabling more accurate and efficient texture image collection through strategic light and image sensor management.
Implementation Method 1
the liquid crystal panel comprises an array substrate, an opposite substrate, and a liquid crystal layer between the array substrate and the opposite substrate
Implementation Method 2
the image sensor array is configured to receive light emitted from the light source array and then reflected to the image sensor array by a texture for a texture collection
Data Source
AI summary
A texture recognition device and a driving method of a texture recognition device (100) are provided. The texture recognition device has a touch side, and includes: a light source array, an image sensor array and a light valve structure; the image sensor array is configured to receive light emitted from the light source array and then reflected to the image sensor array by a texture for a texture image collection; the light valve structure is disposed on a side of the light source array close to a touch side and is configured to control a first region to be in a light transmission state in response to a control signal, so as to allow light emitted from the light source array to pass through the first region to form a first photosensitive light source in the light transmission state.