Adaptive UDFPS Fingerprint Enrollment for Variable Finger Sizes
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Solution Overview
Problem
Existing fingerprint scanners with local under-display fingerprint sensors face challenges in efficiently enrolling fingerprints due to varying finger sizes, leading to under-enrollment or over-enrollment issues, which degrade the user experience and increase the number of touches required.
Innovation Solution
An adaptive fingerprint-enrollment method that adjusts the number and location of enrollment touches based on fingerprint characteristics, using visual guidance and feedback to optimize coverage and minimize the number of touches needed, while ensuring high-quality image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed number of enrollment images is used for all users, then the enrollment process is simple to implement, but large-size fingerprints may under-enroll and small-size fingerprints may over-enroll
Solution Approach 1:
The patent implements a dynamic enrollment scheme that adjusts the number of enrollment images based on the detected fingerprint size. The system determines whether to perform single-image or multi-image enrollment based on real-time fingerprint characteristics, making the enrollment process adaptive rather than static. This resolves the contradiction by maintaining simplicity through automated detection while achieving adaptability through conditional enrollment strategies.
Solution Approach 2:
The system changes the parameter of enrollment image count based on fingerprint size detection. For small fingerprints, it uses fewer images (single-image mode), while for large fingerprints, it uses more images (multi-image mode). This parameter adjustment directly addresses the contradiction by optimizing enrollment quality for different fingerprint sizes while maintaining a simple underlying framework.
2Area of stationary object
If multiple enrollment images are captured to ensure complete coverage, then coverage of large fingerprints is improved, but the number of touches and time required increases
Solution Approach 1:
The patent applies partial action by capturing only the necessary number of fingerprint images based on size detection. Instead of always capturing multiple images, the system captures single images for small fingerprints and multiple images only when needed for large fingerprints. This eliminates redundant captures, reducing enrollment time while maintaining adequate coverage through conditional multi-image enrollment for large fingerprints.
3Ease of operation
If a uniform enrollment scheme is used for all fingers, then the system is easy to operate, but the user experience degrades due to under-enrollment or over-enrollment
Solution Approach 1:
The system performs self-service by automatically detecting fingerprint size and determining the appropriate enrollment strategy without user intervention. The device autonomously decides whether to use single-image or multi-image enrollment based on detected fingerprint characteristics, eliminating the need for users to manually configure enrollment parameters. This maintains ease of operation while improving reliability through adaptive quality control.
Solution Approach 2:
The system uses feedback from fingerprint size detection to adjust the enrollment process. By detecting the actual fingerprint size and using this information to determine the appropriate number of images to capture, the system creates a closed-loop control system that optimizes enrollment quality. This feedback mechanism ensures reliable enrollment outcomes while keeping the user experience simple.
Data Source
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AI summary
This document describes methods and systems of adaptive fingerprint-enrollment to finger characteristics using local under-display fingerprint sensors, UDFPS, in an electronic device. The electronic device includes an adaptive-enrollment module that determines characteristics of a fingerprint based on information corresponding to a touch input detected by a touch-display device, including size and shape of an area of the touch input. Based on the fingerprint characteristics, a number and location of enrollment touches used for completing enrollment of the fingerprint are adjusted to minimize the number of enrollment touches required to complete the enrollment, minimize the amount of time needed to complete the enrollment, and maximize coverage of the fingerprint. The adaptive-enrollment module also provides visual guidance to guide the user to touch the adjusted locations of the enrollment touches and, if needed, feedback to instruct the user to adjust the location of their finger to align with the visual guidance.