Biometric Enrollment Database Update via Fingerprint Region Analysis
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Solution Overview
Problem
Existing biometric authentication systems face challenges in efficiently updating user authentication data, particularly in managing fingerprint recognition databases, where partial fingerprint images from smaller sensors can lead to reduced recognition rates and contamination of enrollment databases.
Innovation Solution
A method for updating biometric authentication data in an enrollment database by determining similarities based on overlap regions between input images and enrolled images, using normalized cross-correlation and sharing area ratios, to selectively add or replace images, ensuring robust authentication and maintaining database integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If partial fingerprint images from smaller sensors are used, then device portability and sensor miniaturization are improved, but recognition rates deteriorate
Solution Approach 1:
The patent divides the fingerprint image into multiple regions of interest (ROIs) and processes each region separately. By segmenting the fingerprint image and analyzing local characteristics in different ROIs, the system compensates for the limited resolution of small sensors, thereby maintaining high recognition rates despite reduced sensor size.
Solution Approach 2:
The patent transforms the two-dimensional fingerprint image into a multi-dimensional feature space by extracting multiple characteristics (minutiae points, ridge patterns, curvature information) and representing them as vectors. This dimensional transformation allows the system to capture essential fingerprint features even from low-resolution images, resolving the contradiction between sensor size and recognition accuracy.
2Measurement precision
If enrollment database is continuously updated, then recognition accuracy is improved, but database contamination and outliers increase
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors the quality of enrolled fingerprint images and the performance of authentication decisions. By analyzing authentication results and image quality metrics, the system identifies and removes contaminated or low-quality entries from the enrollment database, preventing contamination while maintaining high recognition accuracy.
Solution Approach 2:
The patent dynamically adjusts enrollment criteria and database management parameters based on real-time performance metrics. By changing parameters such as minimum image quality thresholds, similarity thresholds for enrollment, and retention policies for enrolled images, the system optimizes the balance between recognition accuracy and contamination prevention.
3Loss of time
If authentication time is reduced, then user convenience and system responsiveness are improved, but authentication reliability deteriorates
Solution Approach 1:
The patent divides the authentication process into multiple stages: a rapid initial matching stage using coarse features (ridge patterns, overall structure) for quick filtering, followed by a detailed verification stage using fine features (minutiae points, curvature) only when necessary. This segmentation allows the system to achieve fast authentication for most cases while maintaining high reliability through thorough verification when needed.
Solution Approach 2:
The patent applies partial action by performing only the necessary authentication checks based on the quality of input images and the risk level of the authentication request. For high-quality images and low-risk scenarios, the system performs rapid authentication with sufficient reliability. For low-quality images or high-risk scenarios, the system performs more extensive verification to ensure reliability, thereby optimizing the time-reliability trade-off dynamically.
Data Source
AI summary
A method for updating biometric authentication data authenticates an input image using an enrollment database (DB) over a first length of time, the authentication including generating information for authenticating the input image, and updates the enrollment DB based on the first length time and the information for authenticating the input image.