Dual-mode Fingerprint Recognition for Greasy or Wet Finger Conditions
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Solution Overview
Problem
Fingerprint recognition on mobile devices has a low success rate in special conditions such as greasy or wet fingers due to limitations in existing fingerprint recognition modes.
Innovation Solution
A mobile terminal with dual fingerprint recognition modes, including capacitive and optical recognition, where the system switches between modes based on initial matching failures to improve recognition accuracy by using two fingerprint templates corresponding to each mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single fingerprint recognition mode is used, then the device complexity is low, but the recognition reliability decreases in special conditions (greasy, wet, or peeling fingers)
Solution Approach 1:
The fingerprint recognition component is designed to support multiple recognition modes (capacitive and optical) within a single device. The system can switch between different recognition modes based on the fingerprint image quality, allowing the same device to handle various fingerprint conditions (greasy, wet, peeling) that would otherwise require separate devices or methods.
Solution Approach 2:
The fingerprint recognition system dynamically adjusts its operating mode based on real-time image quality assessment. When the initial capacitive mode fails to produce sufficient fingerprint features, the system transitions to optical recognition mode, and vice versa. This dynamic switching enables the system to adapt to changing fingerprint conditions without requiring manual intervention.
2Reliability
If dual fingerprint recognition modes are implemented, then the recognition reliability improves, but the device complexity increases
Solution Approach 1:
The patent combines capacitive and optical fingerprint recognition capabilities into a single integrated system. Both recognition modes share common components such as the fingerprint sensor array, processing unit, and template storage, thereby reducing the overall complexity compared to having separate systems. The merging allows the system to leverage the strengths of both modes while minimizing redundant components.
Solution Approach 2:
An image quality assessment module serves as an intermediary between the fingerprint capture and the recognition decision-making process. This intermediary component evaluates the quality of captured fingerprint images and determines which recognition mode should be used, thereby simplifying the control logic and reducing the complexity of managing multiple recognition modes.
3Ease of operation
If automatic mode switching is implemented, then the ease of operation improves, but the processing time increases
Solution Approach 1:
The system performs preliminary image quality assessment immediately after capturing the fingerprint image, before initiating the full recognition process. This preliminary action determines whether the captured image is suitable for direct recognition or requires mode switching, thereby avoiding unnecessary delays and optimizing the overall processing time while maintaining ease of operation.
Data Source
AI summary
Embodiments of the present disclosure provide a fingerprint recognition method and related products. The method may include: acquiring by the mobile terminal a first fingerprint image of a target finger in a first fingerprint recognition mode; verifying whether a first matching degree between the first fingerprint image and a first fingerprint template corresponding to the first fingerprint recognition mode is greater than an enrolled threshold; when the first matching degree is less than or equal to the enrolled threshold, verifying whether a second matching degree between the first fingerprint image and a second fingerprint template corresponding to a second fingerprint recognition mode is greater than the enrolled threshold; when the second matching degree is greater than the enrolled threshold, determining that fingerprint is verified.