Fingerprint Sensor Sub-Region Segmentation for Rapid Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional capacitive fingerprint sensors have limited effective sensing areas and require extensive processing time for identification, making them inefficient for large-area biometric applications, particularly in mobile devices and security systems where rapid and secure authentication is necessary.
Innovation Solution
A rapid identification method that divides a large fingerprint sensing area into multiple sub-regions, allowing for partial sensing and comparison with pre-stored data to grant access rights, optimizing processing time and security by selecting only necessary sub-regions for identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large-area fingerprint sensor is used to extract more minutiae for improved security, then the number of extracted minutiae increases and security is enhanced, but the processing time for identification increases significantly
Solution Approach 1:
The fingerprint sensing area is divided into multiple sub-regions, allowing the system to process only relevant portions of the fingerprint image rather than the entire large-area sensor output. This segmentation enables rapid identification by focusing computational resources on specific sub-regions containing sufficient minutiae, thereby reducing processing time while maintaining security through adequate minutiae extraction.
2Measurement precision
If the effective sensing area is increased to improve identification correctness, then more minutiae can be extracted for better accuracy, but the device complexity and processing requirements increase
Solution Approach 1:
By dividing the large sensing area into smaller sub-regions, the system reduces the computational complexity of processing the entire fingerprint image at once. Each sub-region can be processed independently with fewer resources, making the overall system more manageable while still providing sufficient minutiae for accurate identification.
Solution Approach 2:
The system performs fingerprint sensing on only a part of the fingerprint sensing sub-regions rather than all sub-regions, extracting sufficient minutiae from selected areas to achieve accurate identification without the need to process the entire large-area sensor output, thereby reducing processing requirements.
Data Source
AI summary
A rapid identification method for fingerprint first provides a fingerprint identification apparatus having a fingerprint sensing area and divides the fingerprint sensing area into fingerprint sensing sub-regions. In a registration stage, the method performs fingerprint sensing for the entire fingerprint sensing area to obtain fingerprint image for a whole fingerprint sensing area, fingerprint minutiae and relevant locations for the fingerprint minutiae and then pre-stores those data. In an identification stage, the method performs fingerprint sensing on a part of the fingerprint sensing sub-regions for a user to be identified and detects fingerprint minutiae and relevant locations for the fingerprint minutiae in the part of the fingerprint sensing sub-regions. The method compares the fingerprint minutiae and relevant locations detected in the identification stage with respect to the corresponding fingerprint minutiae and relevant locations in the registration stage in order to determine whether the user can be granted with access right.