Fingerprint Recognition Direction Prediction via Grip Pattern Analysis
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Solution Overview
Problem
Fingerprint recognition in mobile devices is hindered by variations in finger action and input direction during reference registration and authentication, leading to reduced recognition rates and increased errors, especially when users hold the device with one hand and input fingerprints with the other.
Innovation Solution
The electronic device detects the direction and movement based on the grip pattern and predicts the finger and input direction for authentication, prioritizing fingerprint candidates to enhance recognition accuracy and reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint registration is performed in a normal direction with repeated scanning to address deformation, then the reliability of fingerprint recognition is improved, but the complexity of operation increases and time is lost
Solution Approach 1:
The system performs preliminary classification of fingerprint candidates based on grip patterns before authentication. By pre-organizing fingerprint data according to different grip scenarios (one-handed, two-handed, device orientation), the system prepares the most relevant candidates in advance, eliminating the need for repeated scanning and complex post-processing during actual authentication.
Solution Approach 2:
The system dynamically adjusts the fingerprint candidate selection based on real-time grip pattern detection. Instead of using a fixed registration process, the system adapts the authentication flow by identifying the current grip pattern and selecting appropriate fingerprint candidates, making the process flexible and context-aware without requiring repeated scans.
2Reliability
If multiple reference fingerprints are registered for different fingers of multiple users to increase authentication success rate, then the reliability is improved, but the processing speed decreases and the quantity of data increases
Solution Approach 1:
The system segments the large set of fingerprint candidates into smaller groups based on grip patterns and user contexts. By dividing the authentication process into stages (grip detection → candidate selection → verification), the system processes only relevant subsets of fingerprints at each stage, maintaining high success rates while reducing overall processing time and data volume.
Solution Approach 2:
The system performs preliminary filtering and prioritization of fingerprint candidates based on grip pattern analysis before the actual authentication comparison. This pre-processing step organizes and ranks candidates in advance, so that during authentication, the system only needs to compare against a small number of high-probability candidates rather than all registered fingerprints.
3Reliability
If the user must input fingerprint in the same direction as registration while holding the device, then the recognition rate is improved, but the ease of operation deteriorates
Solution Approach 1:
The system dynamically adapts the authentication process to the user's actual grip pattern and input direction. Instead of requiring users to maintain a fixed input direction, the system detects the grip pattern and adjusts the fingerprint comparison parameters accordingly, allowing authentication to succeed regardless of the specific input direction or device orientation.
Solution Approach 2:
The system changes the comparison parameters based on detected grip patterns. By adjusting orientation parameters, rotation angles, and directional tolerances according to the identified grip scenario, the system maintains high recognition rates across various input directions and device orientations without constraining user behavior.
Data Source
AI summary
A method for operating an electronic device is provided. The method includes detecting a fingerprint, detecting reference value based on situation information of the electronic device, and performing a fingerprint recognition based on the detected fingerprint and the reference value. A method for operating an electronic device is not limited to the above method, and other embodiments are possible within the same or similar scope as the present disclosure.