18382574. MODEL GENERATION APPARATUS, MODEL GENERATION METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)
Contents
MODEL GENERATION APPARATUS, MODEL GENERATION METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
MODEL GENERATION APPARATUS, MODEL GENERATION METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18382574 titled 'MODEL GENERATION APPARATUS, MODEL GENERATION METHOD, AND RECORDING MEDIUM
Simplified Explanation
The patent application describes a model generation apparatus that selects training data from fingerprint images, trains a model to correct fingerprint images, calculates evaluation values of model results, and updates the model based on the evaluation values.
- Training data selection means selects sets of training data from fingerprint images
- Learning means trains a model to correct fingerprint images using the selected training data
- Evaluation value calculation means calculates evaluation values of model results from inputted fingerprint images
- Model update means updates the model based on the evaluation values
- Training data selection means determines sets of training data to be selected based on the evaluation values
Potential applications of this technology:
- Biometric security systems
- Forensic analysis
- Identity verification systems
Problems solved by this technology:
- Improving accuracy of fingerprint image correction
- Enhancing performance of fingerprint recognition systems
Benefits of this technology:
- Increased security in biometric applications
- More reliable forensic analysis
- Enhanced user experience in identity verification systems
Original Abstract Submitted
In a model generation apparatus, a training data selection means selects sets of training data from a plurality of fingerprint images. A learning means trains a model that corrects a fingerprint image, by using the sets of training data. An evaluation value calculation means calculates evaluation values of results acquired by inputting the plurality of fingerprint images into the trained model. A model update means updates a model to be trained, based on the evaluation values. Next, the training data selection means determines sets of training data to be selected from the plurality of fingerprint images based on the evaluation values.
