Under-Display Fingerprint Enrollment Adapted to Finger Size
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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.
Innovation Solution
An adaptive fingerprint-enrollment system that adjusts the number and location of enrollment touches based on fingerprint characteristics, using visual guidance and feedback to optimize enrollment, minimizing the number of touches required and maximizing coverage.
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 system dynamically adjusts the number of enrollment images based on the detected fingerprint size. Instead of using a fixed number of enrollment images for all users, the system determines the actual fingerprint size and calculates the appropriate number of images needed to achieve complete coverage, thereby resolving the contradiction between implementation simplicity and enrollment accuracy.
Solution Approach 2:
The system changes the parameter of enrollment image count based on fingerprint characteristics. By detecting fingerprint size and adjusting the number of required enrollment images accordingly, the system optimizes enrollment accuracy for both large and small fingerprints while maintaining a relatively simple implementation approach.
2Manufacturing precision
If multiple enrollment images are captured to cover large fingerprints, then complete fingerprint coverage is achieved, but the number of enrollment touches and time required increases
Solution Approach 1:
The system performs preliminary detection of fingerprint size before the enrollment process. By determining the actual fingerprint dimensions in advance, the system can calculate and prepare the exact number of enrollment images needed, avoiding both unnecessary additional touches for small fingerprints and insufficient coverage for large fingerprints, thereby optimizing enrollment time.
Solution Approach 2:
The system automatically determines fingerprint characteristics and calculates the appropriate number of enrollment images without requiring user input or manual configuration. This self-service approach optimizes the enrollment process by adapting to each user's specific fingerprint size, reducing both time and touches required while ensuring complete coverage.
3Device complexity
If a fixed enrollment scheme is used, then the system is easy to implement, but the user experience varies depending on finger size
Solution Approach 1:
The enrollment system transitions from a static, fixed scheme to a dynamic adaptive scheme that responds to detected fingerprint characteristics. By adjusting the number of enrollment images based on actual fingerprint size, the system provides a consistent and optimized user experience across different finger sizes while maintaining relatively simple implementation through automated detection and calculation.
Data Source
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.