Texture recognition device and display device
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Solution Overview
Problem
Optical fingerprint acquisition technologies face challenges in accurately identifying fingerprints due to large-angle incident light causing crosstalk, which results in inability to recognize valleys and ridges effectively.
Innovation Solution
A texture recognition device is developed, incorporating a light constraint element, such as a collimating film with a mesh structure, to restrict the divergence angle of backlight, ensuring the reflected light has a preset angle range, thereby reducing crosstalk and improving recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If large-angle incident light is used in optical fingerprint acquisition, then the light can cover a wider area, but it causes crosstalk in fingerprint recognition resulting in inability to accurately identify valleys and ridges
Solution Approach 1:
The patent changes the divergence angle parameter of the backlight from a large angle to a small angle (within preset angle range), transforming the light propagation characteristics to eliminate crosstalk while maintaining adequate coverage area for fingerprint acquisition
Solution Approach 2:
The patent introduces a light constraint element as an intermediary component between the backlight and the finger, which mediates the light propagation by constraining the divergence angle, thereby resolving the contradiction between coverage area and recognition accuracy
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
The device enhances the accuracy of texture recognition by reducing crosstalk among light rays reflected from the skin, leading to improved contrast and precision in identifying textures like fingerprints.
Implementation Method 1
a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range
Implementation Method 2
a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object
Data Source
AI summary
A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.