Mobile Fingerprint Recognition Thresholds for Charging-State Noise
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Solution Overview
Problem
Fingerprint recognition sensors in mobile terminals exhibit varying sensitivities due to different charging states, leading to inconsistent recognition rates.
Innovation Solution
A method and apparatus that adjust the fingerprint recognition threshold value based on the current charging state of the mobile terminal to maintain a consistent recognition rate across varying charging conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed threshold value is used for fingerprint recognition, then the recognition process is simple, but the recognition rate varies in different charging states
Solution Approach 1:
The patent applies the dynamics principle by making the fingerprint recognition threshold value adaptive rather than fixed. The system dynamically adjusts the threshold based on the charging state of the mobile terminal, transitioning from a static parameter to a dynamic one that responds to environmental changes. This resolves the contradiction by maintaining high recognition rates across different charging states while accepting the complexity of dynamic threshold management.
Solution Approach 2:
The patent implements parameter changes by modifying the threshold value parameter according to the charging state. When the terminal is charging, the threshold is adjusted to account for noise signals generated during charging, while when not charging, a different threshold is applied. This parameter adaptation strategy directly addresses the varying recognition rates caused by different charging conditions.
2Adaptability or versatility
If the fingerprint recognition sensor operates in different charging states, then the sensor can function in various usage scenarios, but the sensitivity varies causing inconsistent recognition rates
Solution Approach 1:
The patent changes the detection parameter (threshold value) based on the charging state to maintain consistent measurement precision. By adjusting the threshold according to whether the device is charging or not, the system compensates for the varying sensitivity and noise levels, ensuring accurate fingerprint detection across different operational contexts.
Solution Approach 2:
The system incorporates feedback by monitoring the charging state and using this information to adjust the recognition threshold. The charging state serves as feedback about the operational environment, which then informs the adjustment of the threshold parameter to maintain optimal recognition performance despite changing conditions.
Data Source
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AI summary
A method for fingerprint recognition includes: acquiring (S101) a current charging state of the mobile terminal; updating (S102) a fingerprint recognition threshold value according to the current charging state of the mobile terminal; acquiring (S103) a fingerprint image, and extracting (S104) feature information of the fingerprint image; and conducting a fingerprint recognition according to the extracted feature information and the fingerprint recognition threshold value. In embodiments of the present disclosure, the current charging state of the mobile terminal is acquired and the fingerprint recognition threshold value is thus updated according to the current charging state of the mobile terminal, such that the mobile terminal can acquire the same fingerprint recognition rate regardless of different charging states.