Fingerprint Recognition Region Segmentation for Speed
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Solution Overview
Problem
The existing under-screen fingerprint identification systems with multiple sensors face a speed bottleneck due to the increased data processing time required for capturing fingerprint data across larger areas, affecting user experience.
Innovation Solution
The method involves determining an effective data acquiring region based on the pressing information, where only the necessary fingerprint sensors capture data within that region, optimizing the data amount for efficient processing and improving identification speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple fingerprint sensors are used to capture fingerprint data across a larger area, then the area of the fingerprint detecting region is improved, but the data processing time increases
Solution Approach 1:
The fingerprint detecting region is divided into multiple sub-regions, each corresponding to one or more fingerprint sensors. The processor segments the data processing task by determining which sub-region contains the pressing information and only processing data from that specific sub-region, rather than processing all data from all sensors. This segmentation approach maintains the advantage of having multiple sensors for larger detection area while reducing processing time by focusing only on the relevant segment.
2Area of stationary object
If multiple fingerprint sensors capture data across a larger area, then the fingerprint detection coverage is improved, but the quantity of data to be processed increases
Solution Approach 1:
The processor extracts and identifies the specific sub-region containing the pressing information from the entire fingerprint detecting region. By taking out only the relevant sub-region data for processing while ignoring data from other sub-regions, the system maintains comprehensive detection coverage through multiple sensors but reduces the quantity of data that needs to be processed to only what is necessary.
3Area of stationary object
If all fingerprint sensors process data simultaneously, then the comprehensive coverage is improved, but the processing efficiency deteriorates
Solution Approach 1:
The system dynamically determines which sub-region contains the pressing information and adjusts the processing scope accordingly. Instead of statically processing data from all sensors simultaneously, the processor dynamically identifies the active sub-region and processes only that portion, making the system adaptive to the actual pressing location. This dynamic approach maintains comprehensive detection coverage while significantly improving processing efficiency.
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.