Fingerprint Recognition System Using Adaptive Debug Parameters
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Solution Overview
Problem
The existing fingerprint recognition technologies face challenges in reducing the time required for screen unlocking, as they often necessitate numerous adjustments of debug parameters, leading to longer acquisition times and increased processing demands.
Innovation Solution
The method involves adjusting fingerprint image acquisition parameters based on the most frequently used debug parameters from recent instances, allowing for quick selection and processing of target fingerprint images, thereby reducing the need for extensive parameter adjustments and enhancing acquisition efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fingerprint recognition methods are used with multiple debug parameter adjustments, then measurement precision can be maintained, but unlocking time increases and productivity decreases
Solution Approach 1:
The system performs preliminary actions by pre-processing fingerprint images to extract feature points and pre-computing matching results before the actual unlocking operation is needed. This allows the system to have recognition results ready in advance, significantly reducing the actual unlocking time while maintaining accuracy.
Solution Approach 2:
The fingerprint recognition process is segmented into distinct phases: image acquisition, feature extraction, template matching, and verification. By dividing the process and optimizing each segment independently, the system reduces overall processing time while maintaining measurement precision through specialized handling of each stage.
2Measurement precision
If multiple debug parameter adjustments are performed to ensure accurate fingerprint recognition, then measurement precision is improved, but device complexity and processing demands increase
Solution Approach 1:
The system performs self-service by automatically adjusting debug parameters based on the acquired fingerprint image characteristics without requiring manual intervention. The system self-adapts parameter settings to optimize recognition accuracy for different fingerprint conditions, reducing operational complexity while maintaining precision.
Solution Approach 2:
The system dynamically changes parameters based on the specific characteristics of each fingerprint image being processed. By adapting parameters to match the actual image quality and features rather than using fixed settings, the system maintains high recognition accuracy while simplifying the overall process through automated parameter optimization.
3Measurement precision
If traditional fingerprint acquisition methods are used with extensive parameter adjustments, then measurement precision can be maintained, but productivity and acquisition efficiency decrease
Solution Approach 1:
The system performs preliminary image processing and feature extraction immediately upon image acquisition, preparing the data in advance for the matching phase. This preliminary action ensures high-quality processing without requiring multiple subsequent parameter adjustments, thereby maintaining image quality while improving acquisition efficiency.
Solution Approach 2:
The system maintains continuity of useful action by processing fingerprint images in an uninterrupted pipeline from acquisition through feature extraction to matching. This continuous processing eliminates idle time between steps and maintains high productivity while ensuring each image receives the necessary processing attention for precision.
Data Source
AI summary
A method for screen unlocking, a method for image acquiring, and an electronic terminal are provided. In the method for screen unlocking, a most frequently used debug parameter is counted according to recorded debug parameters used for image selection in the most recent N instances. Auto-adjustment is performed on the debug parameters from the most frequently used debug parameter, and an image current acquired is debugged with the debug parameters adjusted, to obtain debugged images. A target fingerprint image is selected from the debugged images. Whether the target image satisfies an unlocking condition is identified and a screen of the electronic terminal is unlocked when the unlocking condition is satisfied. Accordingly, a method for image acquiring and an electronic terminal are also provided.