Fingerprint Calibration for Display Devices
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Solution Overview
Problem
Existing display devices with fingerprint recognition functions suffer from low accuracy due to interference from finger patterns, display surface patterns, light leakage, and temperature fluctuations, leading to inaccurate fingerprint recognition.
Innovation Solution
A fingerprint recognition calibration method is introduced, which involves displaying specific images during initial calibration and recognition phases to acquire calibration data, and applying formulas to subtract background interference signals, ensuring a fixed background for accurate fingerprint recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint recognition is performed on display devices, then user authentication is enabled, but recognition accuracy deteriorates due to background interference signals
Solution Approach 1:
The patent applies preliminary action by performing calibration before actual fingerprint recognition. The system acquires calibration data under known conditions (with and without finger contact) and stores this information for later use. This preliminary calibration establishes a baseline that enables accurate fingerprint recognition by pre-characterizing the display's optical properties and interference patterns.
Solution Approach 2:
The patent extracts the background interference signal from the total captured signal by subtracting the calibration data (which contains only display surface patterns and light leakage) from the actual fingerprint capture data. This separation isolates the pure fingerprint information from harmful background elements, enabling accurate recognition.
2Ease of manufacture
If display surface patterns and light leakage are present, then display functionality is maintained, but fingerprint recognition quality deteriorates
Solution Approach 1:
The patent converts harmful display surface patterns and light leakage into useful calibration information. By intentionally capturing images under controlled conditions (with and without finger contact), the system transforms these interference elements into a calibration dataset that, when subtracted from actual fingerprint captures, enhances recognition quality. The harmful patterns become the key to eliminating their own negative effects.
Solution Approach 2:
The patent introduces calibration data as an intermediary between the display structure and fingerprint recognition processing. This intermediate calibration step mediates the interaction between the display's optical characteristics and the fingerprint capture, allowing the system to account for display-specific interference without modifying the display structure itself.
3Reliability
If calibration data is acquired under different display conditions, then background interference compensation is improved, but processing complexity increases
Solution Approach 1:
The patent segments the fingerprint recognition process into distinct calibration and recognition phases. During calibration, the system separately captures images with and without finger contact, creating distinct calibration datasets. During actual recognition, it performs corresponding subtractions. This segmentation simplifies the overall process by breaking it into manageable, repeatable steps that can be executed systematically.
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 method significantly improves fingerprint recognition accuracy by eliminating non-uniform background interference signals, resulting in high recognition accuracy and reduced moire effects.
Implementation Method 1
displaying a first image by the display panel
Implementation Method 2
acquiring a bright screen calibration fingerprint data light' by the fingerprint recognition unit
Data Source
AI summary
A display device, a fingerprint recognition calibration method for the display device and an electronic apparatus are disclosed. The fingerprint recognition calibration method includes: for any fingerprint recognition unit, during an initial calibration, displaying a first image by the display panel and acquiring a bright screen calibration fingerprint data by the fingerprint recognition unit and not displaying any image by the display panel and acquiring a dark screen calibration fingerprint data by the fingerprint recognition unit; during a fingerprint recognition, displaying the first image by the display panel and acquiring a bright screen fingerprint data by the fingerprint recognition unit; and performing calibration according to a calibration formula to obtain a calibrated fingerprint recognition data by the fingerprint recognition unit.