Fingerprint Sensor Personalized Settings for Image Acquisition
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Solution Overview
Problem
Existing fingerprint authentication systems face inefficiencies in acquiring high-quality fingerprint images due to variations in finger types, conditions, and ambient factors, leading to time-consuming iterative adjustments of sensor settings.
Innovation Solution
Implementing personalized sensor settings for each enrolled finger, which are dynamically adjusted based on stored settings and image properties to optimize fingerprint image acquisition, reducing the need for iterative adjustments and enhancing user convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If iterative/repeated sampling process is performed using different settings for A/D conversion means and amplifier to acquire good quality fingerprint image, then image quality is improved, but authentication time increases
Solution Approach 1:
The system performs preliminary characterization during enrollment to determine optimal sensor settings (amplifier gain, A/D conversion range) for each user's fingerprint. These pre-determined settings are stored and automatically retrieved during authentication, eliminating the need for iterative adjustments and directly resolving the time-quality contradiction.
Solution Approach 2:
The system dynamically changes sensor parameters (amplifier gain, A/D conversion range) based on pre-determined optimal values for each user. By adjusting these parameters according to stored characterization data rather than using fixed iterative processes, the system achieves high image quality while minimizing authentication time.
2Productivity
If personalized sensor settings are retrieved and applied for each authentication request, then authentication efficiency is improved, but system complexity increases
Solution Approach 1:
The system creates a simplified copy of the optimal sensor settings during enrollment and stores them in memory. During authentication, the system retrieves and applies these pre-stored setting copies rather than performing complex real-time optimization, thereby improving efficiency while managing system complexity through data storage and retrieval mechanisms.
3Device complexity
If block based technique with sequential sampling is used to acquire fingerprint image, then hardware complexity is reduced, but acquisition time increases
Solution Approach 1:
The system performs preliminary determination of optimal sampling parameters (number of blocks, sampling rate, amplifier gain) during enrollment. By pre-calculating and storing these parameters, the sequential block-based sampling process can proceed efficiently during authentication without real-time optimization overhead, reducing acquisition time while maintaining simple hardware architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach minimizes processing time for acquiring good quality fingerprint images, improving user convenience and authentication efficiency by using pre-defined settings specific to each finger, thereby reducing the time required for successful authentication.
Implementation Method 1
All capacitive fingerprint sensors provide a measure indicative of the capacitance between several sensing elements and a finger placed on the surface of the fingerprint sensor
Data Source
AI summary
The present invention generally relates to a method for authenticating a candidate fingerprint using a fingerprint authentication system, and specifically to the possibility of using personalized fingerprint sensor setting for a fingerprint sensor comprised with the fingerprint authentication system. The invention also relates to a corresponding electronic device and to a computer program product. Advantages with the invention include a minimized processing time for acquiring a good quality fingerprint image, thus increasing user convenience.The invention also relates to a corresponding fingerprint sensing system and to a computer program product.