Small-Sensor Fingerprint Enrollment Through Multi-Position Capture
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Solution Overview
Problem
Existing methods for enrolling fingerprint templates on smart cards with small sensors face challenges in accurately calculating overlap and controlling finger movement, leading to unsuccessful authentication and poor user experience due to oversized overlap areas and multiple enrollment attempts.
Innovation Solution
A fingerprint enrolling method and device that controls the movement of a smart card with a fingerprint sensor to capture images from multiple positions and angles, eliminating the need for user interaction and ensuring accurate template diversity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the fingerprint sensor area is reduced to lower cost, then manufacturing cost decreases, but the overlap between verification fingerprint and stored template decreases leading to authentication failure
Solution Approach 1:
The fingerprint enrollment process is divided into multiple captures at different positions. Instead of requiring one large sensor to capture the entire fingerprint, the system segments the fingerprint capture into multiple smaller regions, each captured by the small sensor at different locations. This allows the small sensor to collect sufficient fingerprint data while maintaining authentication reliability.
Solution Approach 2:
The system transitions from a single-position capture to multi-position capture by adding the spatial dimension of movement. The smart card moves to multiple predetermined positions during enrollment, capturing fingerprint data from different locations. This dimensional change compensates for the small sensor area and ensures adequate overlap for reliable authentication.
2Adaptability or versatility
If manual methods or software algorithms are used to control finger movement during enrollment, then template diversity may be achieved, but measurement precision of overlap calculation and control precision of finger movement deteriorate
Solution Approach 1:
The system replaces manual finger movement control with automated smart card movement. Instead of relying on users to move their fingers precisely or on software algorithms to calculate overlap, the system mechanically moves the smart card to predetermined positions. This substitution eliminates the precision problems associated with manual control and algorithmic calculation.
Solution Approach 2:
The system changes the parameter of control from user-dependent manual movement to system-controlled automated movement at predetermined positions. By defining specific positions and movement parameters in advance, the system achieves precise overlap control without relying on real-time calculation or user skill.
3Device complexity
If manual enrollment methods are used requiring user interaction, then device complexity remains low, but productivity of enrollment process deteriorates due to multiple enrollment attempts
Solution Approach 1:
The system performs self-service by automatically controlling the smart card movement and capture process without requiring user guidance or intervention. The enrollment system independently manages the multi-position capture sequence, eliminating the need for operators to manually guide users through multiple attempts, thereby improving efficiency while maintaining simple device architecture.
Data Source
AI summary
A fingerprint enrolling method includes controlling a smart card having a fingerprint sensor disposed therein to capture a first fingerprint image of a finger at a first position. The smart card is controlled to move to a second position to capture a second fingerprint image of the finger at the second position when the first fingerprint image is successfully captured. The fingerprint enrolling method according to the disclosure enhances the user experience, increases the diversity of enrolling the fingerprint templates, and increases accuracy rate of the matching.