Fingerprint Template Database Dynamic Updating
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Solution Overview
Problem
Conventional fingerprint recognition methods are not suitable for small-size fingerprint sensors in smartphones due to limited storage capacity and invariable fingerprint information, leading to erroneous judgments and reduced accuracy, especially in varying environments where fingerprint information changes.
Innovation Solution
A dynamic updating method for fingerprint information using a two-stage learning procedure, where the first stage rapidly increases fingerprint information in the database until it is saturated, and the second stage optimizes and updates the information by adding new data and replacing redundant data, ensuring continuous updating and synchronization with changing fingerprint patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If only part of fingerprint information is obtained and stored in the fingerprint template database during registration, then the storage capacity requirement is reduced, but the fingerprint recognition accuracy deteriorates when fingerprint information falls outside the registration area
Solution Approach 1:
The patent implements dynamic updating of the fingerprint template database by comparing newly collected fingerprint information with existing templates and automatically updating the database when improvements are detected. This transforms the static database into a dynamic system that adapts to new fingerprint data, resolving the contradiction between limited storage and recognition accuracy.
Solution Approach 2:
The system changes the parameters of fingerprint information stored in the database by extracting and storing multiple different feature sets (first, second, and third fingerprint information) representing different areas or characteristics of the fingerprint. This allows the database to contain more varied fingerprint data within limited storage capacity, improving recognition accuracy across different fingerprint regions.
2Device complexity
If fingerprint information in the fingerprint template database is kept invariable, then the system complexity is reduced, but the reliability of fingerprint recognition deteriorates in different use environments where fingerprint information changes
Solution Approach 1:
The patent introduces automatic dynamic updating mechanisms that compare newly collected fingerprint information with existing templates and update the database when improvements are detected. This dynamic adaptation allows the system to maintain high reliability in varying environments without requiring complex manual intervention, balancing simplicity and adaptability.
Solution Approach 2:
The system performs self-updating by automatically comparing new fingerprint data with existing templates and updating the database without external intervention. This self-service mechanism maintains reliability in changing environments while keeping the system relatively simple, as the updating process is automated rather than requiring complex external management.
3Measurement precision
If the fingerprint template database is updated frequently to include new fingerprint information, then the fingerprint recognition accuracy in varying environments is improved, but the loss of time for updating increases
Solution Approach 1:
The patent implements periodic updating where the fingerprint template database is updated at specific intervals or under specific conditions (when new fingerprint information is collected and compared). This periodic approach balances the need for accurate recognition with the time cost of updating, avoiding both excessive frequency and complete stagnation.
Solution Approach 2:
The system uses feedback mechanisms where newly collected fingerprint information is compared with existing templates, and updates are performed only when the new information provides improvement. This feedback-driven updating ensures that time is invested only when it leads to better recognition accuracy, optimizing the balance between precision and time consumption.
Data Source
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AI summary
Disclosed are a fingerprint information dynamic updating method and a fingerprint recognition apparatus. The method includes the steps of: collecting fingerprint information, and performing fingerprint recognition according to the collected fingerprint information and a pre-registered fingerprint template database; after the fingerprint recognition succeeds, determining whether the fingerprint template database is saturate; if the fingerprint template database is not saturate and the collected fingerprint information satisfies a first updating condition, adding the collected fingerprint information to the fingerprint template database; and if the fingerprint template database is saturate and the collected fingerprint information satisfies a second updating condition, selecting target fingerprint information from the fingerprint template database, and replacing the target fingerprint information with the collected fingerprint information. Therefore, dynamic updating of the fingerprint information in the fingerprint template database is implemented in a use process of the fingerprint recognition apparatus, thereby improving the accuracy rate of the fingerprint recognition, reducing an error rate in a different use environment of the fingerprint recognition apparatus, and improving the use experience of a user.