18468351. LEARNING DATA GENERATION METHOD, LEARNING DATA GENERATION SYSTEM, AND COUNTERFEIT DETECTION SYSTEM simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 LEARNING DATA GENERATION METHOD, LEARNING DATA GENERATION SYSTEM, AND COUNTERFEIT DETECTION SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LEARNING DATA GENERATION METHOD, LEARNING DATA GENERATION SYSTEM, AND COUNTERFEIT DETECTION SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
LEARNING DATA GENERATION METHOD, LEARNING DATA GENERATION SYSTEM, AND COUNTERFEIT DETECTION SYSTEM
Organization Name
Inventor(s)
LEARNING DATA GENERATION METHOD, LEARNING DATA GENERATION SYSTEM, AND COUNTERFEIT DETECTION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18468351 titled 'LEARNING DATA GENERATION METHOD, LEARNING DATA GENERATION SYSTEM, AND COUNTERFEIT DETECTION SYSTEM
Simplified Explanation
The learning data generation method described in the abstract involves selecting two sets of data with a similarity to registered biometric data above a certain threshold, determining a matching degree between the two sets, and generating learning data based on the matching degree meeting a second threshold.
- Selection of data with similarity to registered biometric data
- Determination of matching degree between selected data sets
- Generation of learning data based on matching degree meeting a threshold
Potential Applications
This technology could be applied in various fields such as biometric security systems, machine learning algorithms, and data analysis tools.
Problems Solved
This technology helps in improving the accuracy and efficiency of biometric data matching processes, enhancing security measures, and optimizing data analysis procedures.
Benefits
The benefits of this technology include increased security, improved data matching accuracy, enhanced machine learning capabilities, and streamlined data analysis processes.
Potential Commercial Applications
- Biometric security systems
- Machine learning algorithms for data analysis
- Data matching software for various industries
Possible Prior Art
One possible prior art could be the use of biometric data in security systems and data analysis tools, but the specific method described in this patent application may offer unique approaches to data generation and matching.
Unanswered Questions
How does this method handle large datasets efficiently?
This article does not provide information on the scalability of the method or its performance with large datasets.
What are the potential limitations of this technology in real-world applications?
The article does not address any potential drawbacks or limitations of implementing this technology in practical settings.
Original Abstract Submitted
Provided is a learning data generation method including selecting first data and second data, each of the first data and the second data having a similarity to registered biometric data that is greater than or equal to a first threshold, determining a matching degree between the first data and the second data, and generating learning data based on matching the first data to the second data in response to a determination that the matching degree is greater than or equal to a second threshold.
