Fingerprint Sensor Sub-region Activation for Speed
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Solution Overview
Problem
Under-screen fingerprint identification systems with multiple sensors face challenges in processing large amounts of fingerprint data efficiently, leading to slower identification speeds and compromised user experience due to increased data processing times.
Innovation Solution
The method involves determining an effective data acquiring region within the fingerprint detecting region, where only the necessary fingerprint data is captured by one or a subset of the sensors, optimizing the data amount for processing while maintaining the quality of fingerprint data for identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple fingerprint sensors are used to capture large area fingerprint data, then the security and coverage of fingerprint identification is improved, but the data processing time increases and identification speed decreases
Solution Approach 1:
The fingerprint detecting region is divided into multiple sub-regions, each corresponding to one or more fingerprint sensors. The system determines which sub-region contains the pressed fingerprint and activates only the corresponding sensor(s), rather than activating all sensors. This segmentation approach maintains large area coverage capability while reducing the actual data processing burden to only the necessary region.
Solution Approach 2:
Different sub-regions of the fingerprint detecting region are associated with different sensor groups, allowing localized activation. When a user presses a specific area, only the sensors covering that local region are activated, optimizing the balance between coverage area and processing speed based on the actual pressing location.
2Loss of information
If all fingerprint sensors are activated to ensure complete fingerprint capture, then the completeness of fingerprint data is improved, but the processing burden and time consumption increase
Solution Approach 1:
The system pre-establishes the correspondence between sub-regions and sensor groups before actual fingerprint recognition. When a pressing event occurs, the system quickly determines the pressed sub-region and activates the corresponding sensors immediately, without needing to process data from all sensors. This preliminary organization enables rapid response while ensuring complete capture of the pressed fingerprint area.
Solution Approach 2:
Instead of activating all sensors (excessive action), the system activates only the subset of sensors corresponding to the pressed sub-region (partial action). This partial activation approach ensures sufficient fingerprint data is captured for identification while avoiding the unnecessary processing burden of activating all sensors.
Data Source
Figure 1A~1B
Figure 2A~2B
Figure 3A~3C
AI summary
Provided are a method and apparatus for fingerprint identification and an electronic device, which could increase a speed of fingerprint identification. The method is applied to an electronic device including M fingerprint sensors, and the method includes: acquiring pressing information of a finger in a fingerprint detecting region; determining a target sub-region among N sub-regions according to the pressing information, where the N sub-regions cover the fingerprint detecting region, M and N are positive integers greater than 1, and N > M; and determining a data acquiring region according to the target sub-region, where fingerprint data in the data acquiring region is used for fingerprint identification.