Light Blocking Structure for Fingerprint Texture Recognition

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Solution Overview

Problem

In optical texture recognition, such as fingerprint recognition, image blurring occurs due to light scattering when the distance between the finger and the optical sensor is large, leading to inaccurate texture information.

Innovation Solution

A texture recognition method and device that uses a light blocking structure with a light transmission aperture to amplify the texture recognition signal by a factor of 1/cos θ, where θ is the light collecting angle, allowing for accurate detection of valley and ridge lines in the texture.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the distance between the finger and optical sensor is increased, then the ease of operation is improved, but the measurement precision deteriorates due to light scattering and image blurring

Engineering Contradiction:
Improveease of operationVSAvoidmeasurement precision
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent divides the optical path into multiple segments by introducing a light blocking structure with light transmission apertures. This structure segments the collected light into multiple directional components, allowing the system to maintain operation at larger distances while preserving measurement precision through directional light collection

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The light blocking structure serves as an intermediary element between the finger and optical sensor. It modifies the light collection process by blocking certain directions and transmitting others, enabling accurate texture recognition at larger distances where direct optical coupling would fail

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If a light blocking structure with light transmission aperture is introduced, then the measurement precision is improved through signal amplification, but the device complexity increases

Engineering Contradiction:
Improvemeasurement precisionVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The light blocking structure implements local quality by having specific regions with different optical properties - light blocking regions and light transmission aperture regions. This localized differentiation enables precise control over light collection angles and signal amplification without requiring complex system-wide modifications

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes optical parameters by introducing a light blocking structure with specific aperture configurations. This modifies the light collection angle θ and achieves signal amplification with magnification of 1/cosθ, improving measurement precision through parameter optimization rather than complex hardware

Inventive Principle:
Principle #35Parameter changes

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 improves the accuracy of texture recognition without requiring higher accuracy from the optical sensor, by compensating for light intensity variations and reducing the impact of distance on signal quality.

Implementation Method 1

the light may be scattered after being reflected by the finger

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

receiving a texture recognition signal by using a light blocking structure having a light transmission aperture

Methodology Applied
Scientific EffectLight transmission: Light

Data Source

PatentUS10949028B2Texture recognition method, texture recognition device and display device
Publication Date: 2021.03.16 BOE TECHNOLOGY GROUP CO LTD
  • US10949028B2 patent drawing
  • US10949028B2 patent drawing
  • US10949028B2 patent drawing

AI summary

A texture recognition method, a texture recognition device, and a display device. The texture recognition method includes: receiving a texture recognition signal by using a light blocking structure having a light transmission aperture; performing an amplification process on the texture recognition signal to obtain an amplified texture recognition signal; and detecting a valley line and a ridge line in a texture based on the amplified texture recognition signal.