Rolled Fingerprint Registration Using Input Dynamics
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Solution Overview
Problem
Conventional fingerprint recognition technologies for electronic devices face security concerns, as they can be exploited for unauthorized access, such as unlocking a smartphone or accessing sensitive applications without permission.
Innovation Solution
The proposed solution enhances fingerprint registration and recognition security by analyzing how each rolled fingerprint is input and the unique characteristics of each individual fingerprint, including the direction, time, angle, and location of input, which are used to improve authentication processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional fingerprint recognition is used, then ease of operation is improved, but security is worsened
Solution Approach 1:
The system performs preliminary analysis of fingerprint input characteristics (direction, time, angle, location) during the registration phase before actual authentication. This preliminary action creates a comprehensive reference profile that enables more secure verification without affecting user convenience during authentication.
Solution Approach 2:
The patent extends traditional 2D fingerprint matching by adding temporal and spatial dimensions. It analyzes the direction, time, angle, and location of fingerprint input, transforming the authentication process from static image matching to dynamic multi-dimensional verification, thereby enhancing security while maintaining ease of use.
2Reliability
If rolled fingerprint analysis is implemented, then authentication security is improved, but device complexity is worsened
Solution Approach 1:
The system segments the fingerprint authentication process into distinct analytical components: direction analysis, time analysis, angle analysis, and location analysis. Each component processes specific characteristics independently, then integrates results for comprehensive verification. This segmentation manages complexity by breaking down the overall processing task into manageable modules.
Solution Approach 2:
The system uses the fingerprint input characteristics themselves (direction, time, angle, location) as the authentication keys without requiring additional external sensors or complex hardware. The existing fingerprint sensing infrastructure serves multiple purposes by analyzing these inherent characteristics, enabling enhanced security through self-service of the input data.
Data Source
AI summary
A method for registering a fingerprint of a user through an electronic device, comprising: sensing a fingerprint input into a fingerprint recognition area formed on a display module of the electronic device to capture at least one image of the fingerprint input; determining characteristics of the fingerprint input based on the at least one image of the fingerprint input when the fingerprint input is a rolled fingerprint; and storing the at least one image of the fingerprint input and the characteristics of the fingerprint input as personalized information of the user.