Fingerprint Feature Point Synthesis Using Logical Operations
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Solution Overview
Problem
Current fingerprint image processing technologies lack a universal algorithm for extracting high-quality feature points suitable for both criminal investigation and individual authentication, where completeness and accuracy are required respectively, and existing methods have specific strengths and weaknesses.
Innovation Solution
A synthesizing apparatus and method that inputs multiple feature point sets extracted using different algorithms and performs logical operations, such as OR or AND, to synthesize feature points, allowing for the extraction of feature points suitable for specific applications by selecting the appropriate logical operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple feature point extraction methods are used to ensure completeness, then the completeness of feature points is improved, but the accuracy and quality of feature points deteriorates due to inclusion of low-quality points
Solution Approach 1:
The patent segments the feature point extraction process into multiple independent extraction methods, each targeting different aspects of feature point detection. By dividing the extraction task into separate methods with different characteristics, the system can later combine their results to achieve both completeness and accuracy through the synthesis mechanism.
Solution Approach 2:
The patent merges multiple feature point sets extracted by different methods through synthesis processing. The synthesis part combines feature points from multiple extraction methods, using coordination information to filter and integrate results, thereby achieving both completeness (from multiple sources) and accuracy (through coordinated filtering).
2Measurement precision
If a single feature point extraction method is used to ensure accuracy, then the accuracy of feature points is improved, but the completeness of feature points deteriorates due to method-specific limitations
Solution Approach 1:
The patent creates a universal feature point extraction system that incorporates multiple extraction methods, each with different strengths. The synthesis mechanism provides multi-functionality by being able to combine results from various methods, making the overall system adaptable to different fingerprint patterns and ensuring both accuracy and completeness across diverse cases.
Solution Approach 2:
The synthesis part acts as an intermediary between multiple feature point extraction methods. It receives feature point sets from different methods, processes them through coordination information, and produces a final synthesized feature point set that combines the strengths of individual methods while filtering out their weaknesses.
3Quantity of substance
If feature points from multiple methods are combined without synthesis, then the completeness is improved, but the device complexity increases due to handling multiple feature point sets
Solution Approach 1:
The patent extracts only the essential coordination information from multiple feature point sets during synthesis, rather than processing all raw data from each method. By taking out and utilizing only the necessary coordination relationships, the system reduces processing complexity while maintaining the benefits of multiple extraction methods.
Data Source
AI summary
A synthesizing apparatus comprises: an input part that inputs a plurality of feature point sets that are respectively extracted by a plurality of methods from an input image having a curved stripes pattern formed by ridges; and a synthesizing part that synthesizes the plurality of feature point sets by executing a logical operation on the plurality of feature point sets. The synthesizing part can execute a logical OR operation on the plurality of feature point sets. The synthesizing part can also execute a logical AND operation on the plurality of feature point sets.