Fingerprint Unlocking Parallel Processing Interrupt Control
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Solution Overview
Problem
The existing fingerprint identification technology in terminal devices is inefficient in optimizing unlocking time, which is a key competitive factor for manufacturers, as the process involves sequential steps that prolong the time from fingerprint acquisition to system unlocking.
Innovation Solution
The proposed method involves acquiring an original fingerprint image and performing a fingerprint identification process in parallel with the screen-on operation, utilizing an interrupt request to resume the system and reduce the unlocking time by performing image enhancement and feature point comparison concurrently with screen lighting, thereby shortening the overall unlocking process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If sequential fingerprint identification process is used, then system security is maintained, but unlocking time is prolonged
Solution Approach 1:
The patent performs image enhancement and preprocessing operations on the fingerprint image before the formal identification process. By preparing the image data in advance (enhancing contrast, removing noise, extracting features), the system reduces the time required during the actual unlocking operation while maintaining identification accuracy through pre-computed feature templates.
Solution Approach 2:
The fingerprint identification process is divided into distinct sequential stages: image acquisition, image enhancement, feature extraction, template comparison, and verification. This segmentation allows parallel processing of independent stages and optimizes each stage separately, reducing overall processing time while maintaining security through layered verification.
2Measurement precision
If comprehensive fingerprint processing is performed, then identification accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements a two-stage processing approach where only essential feature extraction is performed initially for quick matching, and more comprehensive analysis is conducted only when needed. This partial action approach achieves sufficient accuracy for most cases while reducing processing time, with full processing reserved for edge cases requiring higher verification.
Solution Approach 2:
The system dynamically adjusts processing parameters such as image resolution, enhancement intensity, and feature extraction depth based on input conditions. By changing parameters adaptively (e.g., using lower resolution for initial screening, higher resolution for verification), the system optimizes the balance between processing speed and matching accuracy for different scenarios.
Data Source
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AI summary
An unlocking control method is provided. The method includes the following. An original fingerprint image is acquired and an interrupt request is triggered when a terminal device is in a screen-off state and a touch-press operation performed by a user on a fingerprint identification module of the terminal device is detected. A fingerprint identification process is performed on the original fingerprint image. A screen of the terminal device is lit up when detecting that a result of the fingerprint identification process is matching. With aid of embodiments of the present disclosure, time taken for unlocking the terminal device can be reduced.