Fingerprint Unlocking via Dynamic Sensor Parameter Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Fingerprint recognition technology is inefficient when a user's finger is over-dry or over-wet, requiring multiple attempts for successful unlocking, affecting the speed and efficiency of terminal access.
Innovation Solution
A method that adjusts parameters of a fingerprint acquisition chip to obtain multiple fingerprint images, determining the best image quality and unlocking the terminal when the target image matches a preset fingerprint image, thereby improving matching success rates and reducing the number of attempts needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional fingerprint recognition is used without parameter adjustment, then the device operation is simple, but the unlocking efficiency is low when finger is over-dry or over-wet
Solution Approach 1:
The patent implements dynamic adjustment of fingerprint acquisition parameters (such as illumination intensity, exposure time, or sensor sensitivity) based on the detected fingerprint image quality. When the system detects that a fingerprint image is of poor quality (indicating dry or wet finger conditions), it automatically adjusts the acquisition parameters to optimize the next capture attempt, thereby improving unlocking efficiency without requiring manual intervention from the user.
Solution Approach 2:
The system incorporates a feedback mechanism where each fingerprint capture attempt is evaluated for quality, and this evaluation feeds back into the parameter adjustment for subsequent attempts. The controller analyzes the captured fingerprint image quality and uses this information to modify acquisition parameters for the next capture, creating a closed-loop system that adapts to varying finger conditions and improves overall unlocking success rate.
2Reliability
If multiple fingerprint captures are attempted without parameter adjustment, then the matching success rate remains low, but adjusting parameters increases the complexity of the acquisition chip control
Solution Approach 1:
The system performs preliminary quality assessment of each captured fingerprint image before proceeding to matching. This preliminary action involves evaluating image quality metrics (such as ridge clarity, contrast, or completeness) and using this evaluation to determine whether parameter adjustment is needed before the next capture attempt. By performing this assessment in advance, the system可以提高 matching success rate without unnecessarily complicating the acquisition process.
Solution Approach 2:
The patent specifically implements changes to fingerprint acquisition parameters (such as illumination intensity, exposure time, or sensor gain) based on detected image quality conditions. When poor quality is detected, the system modifies one or more parameters to optimize the next capture. This parameter change strategy directly addresses the reliability issue by adapting to dry or wet finger conditions while keeping the control mechanism manageable through automated decision-making.
3Loss of time
If the user presses the fingerprint module multiple times without parameter optimization, then the operation process is simple, but the time required for successful unlocking increases
Solution Approach 1:
The system implements periodic fingerprint capture attempts with optimized intervals. Instead of continuous or random capturing, the system performs captures at structured intervals, using each capture's quality assessment to inform the timing and parameter settings of subsequent captures. This periodic approach with quality-based adaptation reduces unnecessary waiting time and improves overall unlocking speed by focusing capture attempts when conditions are most favorable.
Data Source
AI summary
A method for fingerprint unlocking is provided. Multiple fingerprint images are obtained, by acquiring fingerprints through adjusting adjustment parameters of a fingerprint acquisition chip of a fingerprint recognition module, in response to detecting that the fingerprint recognition module is pressed. A target fingerprint image with the best image quality is determined from the multiple of fingerprint images. A terminal is unlocked when the target fingerprint image matches a preset fingerprint image successfully. A terminal is also provided.