Under-Display Fingerprint Sensor Background Subtraction
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Solution Overview
Problem
Fingerprint recognition rates decrease due to variations in background information caused by wear-out of sensors, ambient temperature, and electrical noise, making it difficult to predict when background information should be acquired for accurate fingerprint recognition.
Innovation Solution
An electronic device with a display, a fingerprint recognition sensor under the display, and input detection sensors that predict the time for fingerprint recognition and acquire background information based on designated events, such as user input, to enhance recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If background information is acquired at a fixed time interval, then the acquisition process is simple, but the fingerprint recognition rate decreases when the time difference between background information acquisition and fingerprint information acquisition is large
Solution Approach 1:
The system performs preliminary action by detecting designated events (such as user inputs or system states) and acquiring background information in advance before fingerprint recognition is actually needed. This ensures background information is fresh and relevant when fingerprint recognition occurs, resolving the contradiction between simple fixed-interval acquisition and high recognition rates.
2Reliability
If background information is acquired frequently to maintain accuracy, then the fingerprint recognition rate improves, but the energy consumption and system complexity increase
Solution Approach 1:
Instead of continuous or fixed-interval acquisition, the system uses periodic action triggered by designated events. Background information is acquired periodically only when specific events occur (such as user interactions or system state changes), maintaining high recognition rates while significantly reducing unnecessary energy consumption compared to frequent fixed-interval acquisition.
3Loss of time
If the time between background information acquisition and fingerprint information acquisition is increased, then the system has more time to process other tasks, but the fingerprint recognition accuracy decreases
Solution Approach 1:
The system implements feedback by continuously monitoring for designated events and dynamically determining when to acquire background information. This event-driven feedback mechanism ensures background information is acquired at the optimal moment - not too early (wasting time) and not too late (reducing accuracy) - thereby balancing time availability for other tasks with fingerprint 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 solution ensures accurate fingerprint recognition by consistently acquiring background information before acquiring fingerprint information, thereby improving recognition rates and user experience.
Implementation Method 1
A capacitive fingerprint recognition sensor may recognize fingerprints by detecting a difference in capacitance between a ridge and a valley of the fingerprints.
Implementation Method 2
An optical fingerprint recognition sensor may acquire a fingerprint image reflected by light and may recognize fingerprints by comparing with previously registered fingerprint images.
Implementation Method 3
An ultrasonic fingerprint recognition sensor may acquire fingerprint data by measuring a difference in the amount of reflected ultrasonic signals and may recognize fingerprints by comparing with existing fingerprint data.
Data Source
AI summary
An electronic device is provided. The electronic device includes a display, a fingerprint recognition sensor disposed under a first area of the display, at least one input detection sensor, and at least one processor electrically connected with the display, the fingerprint recognition sensor, and the at least one input detection sensor, wherein the at least one processor is configured to detect a designated event through the at least one input detection sensor, acquire background information through the fingerprint recognition sensor according to detection of the designated event, acquire fingerprint information of an object through the fingerprint recognition sensor in response to detecting the object on the first area of the display, and subtract the background information from the fingerprint information.