Anti-Spoofing Configuration Parameter Updating Method
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Solution Overview
Problem
Existing electronic devices face challenges in achieving high-precision anti-spoofing detection due to insufficient collected fingerprint information and hardware differences, leading to reduced recognition accuracy across various devices.
Innovation Solution
An updating method for anti-spoofing detection configuration parameters, which involves acquiring fingerprint information in a trusted mode, calculating target configuration parameters based on detect scores, and updating current parameters when specific conditions are met, ensuring accurate and precise anti-spoofing detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If detection parameters are formed from collected fingerprint information during development stage, then anti-spoofing detection can be implemented, but recognition accuracy is not high enough due to insufficient data and hardware differences
Solution Approach 1:
The system collects fingerprint information in advance during trusted operations (unlocking, registration) and pre-calculates detection scores before actual anti-spoofing detection is needed. This preliminary data collection and score calculation enables more accurate parameter updating when hardware differences are encountered, resolving the contradiction between having detection capability and achieving high recognition accuracy.
Solution Approach 2:
The system establishes a feedback loop where detection scores from fingerprint information are continuously collected and used to update configuration parameters. The updated parameters then improve subsequent anti-spoofing detection accuracy. This closed-loop feedback mechanism allows the system to progressively improve recognition accuracy while maintaining reliable anti-spoofing detection capability.
2Measurement precision
If configuration parameters are updated based on collected fingerprint information, then recognition precision is improved, but system complexity increases due to additional collection modes and update conditions
Solution Approach 1:
The system applies different quality standards to different fingerprint information based on collection context. Only fingerprint information collected in trusted modes (during unlocking, registration, or when recognition results match expected outcomes) is used for parameter updating. This selective approach improves recognition precision while avoiding the complexity of managing all possible collection scenarios.
Solution Approach 2:
Instead of continuously updating parameters with all collected fingerprint information, the system selectively updates only when specific conditions are met (trusted mode detection, sufficient data accumulation). This partial action approach achieves improved recognition precision without implementing complex continuous updating mechanisms for all possible scenarios.
3Measurement precision
If fingerprint information is collected during trusted operations only, then data quality is improved, but the amount of collected information is limited
Solution Approach 1:
The system continuously collects fingerprint information during trusted operations (each unlock, registration, or successful recognition event). Although each individual collection provides limited data, the continuous accumulation across numerous trusted operations gradually builds sufficient high-quality fingerprint information for accurate parameter updating, resolving the contradiction between data quality and quantity.
Data Source
AI summary
The present disclosure relates to an updating method for configuration parameters of an electronic device, a device and a computer-readable medium, wherein the updating method includes: acquiring fingerprint information collected by a fingerprint sensor at the electronic device; determining whether the fingerprint information is collected in a trusted mode; acquiring, in response to determining that the fingerprint information is collected in the trusted mode, a target configuration parameter of the electronic device for anti-spoofing detection according to the fingerprint information; and updating, in response to that the target configuration parameter of the electronic device and/or a current configuration parameter of the electronic device satisfies a preset condition, the current configuration parameter of the electronic device based on the target configuration parameter of the electronic device, wherein the current configuration parameter is used by the electronic device for anti-spoofing detection of a fingerprint in fingerprint information to be recognized. The solution of the present disclosure can update configuration parameters of the electronic device under certain conditions, thereby realizing high precision of anti-spoofing detection.