Fingerprint Image Processing Model for Trace-Based Device Testing
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Solution Overview
Problem
The existing methods for testing fingerprint recognition devices require a large quantity of real fingerprints, leading to a heavy workload and low efficiency.
Innovation Solution
A fingerprint image processing model is trained using sets of real fingerprint image samples and sets of fingerprint trace image samples, allowing processed fingerprint trace images to be used for testing fingerprint recognition devices without the need for real fingerprints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real fingerprints are used for testing fingerprint recognition devices, then test reliability is improved, but workload increases and efficiency decreases
Solution Approach 1:
The patent uses fingerprint trace images (copies) instead of real fingerprints (originals) for testing. The processing model transforms fingerprint trace images into processed images that replicate the characteristics of real fingerprints, enabling testing without recruiting actual fingerprint providers while maintaining test reliability
Solution Approach 2:
The patent performs preliminary processing of fingerprint trace images through a trained processing model before actual testing. This preliminary action transforms raw fingerprint traces into processed images that already contain the necessary fingerprint characteristics, eliminating the need for real fingerprint collection during testing
2Measurement precision
If real fingerprints are used for testing fingerprint recognition devices, then test accuracy is improved, but the number of testers needed increases
Solution Approach 1:
The patent replaces the need for multiple real fingerprint testers with processed fingerprint trace images. A single fingerprint trace image, when processed through the trained model, can generate test images that match the accuracy requirements, significantly reducing the quantity of testers needed
Solution Approach 2:
The processing model transforms fingerprint trace images into multi-functional test images that can serve multiple testing purposes. These processed images can be used for various types of fingerprint recognition testing without requiring different real fingerprint samples, making the test data universally applicable
Data Source
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AI summary
Embodiments of the present specification provide a fingerprint image processing method and apparatus. The method includes: obtaining an original fingerprint trace image of a fingerprint trace left by a user on a target object; inputting the original fingerprint trace image to a pre-trained fingerprint image processing model for processing, and obtaining a target fingerprint trace image output from the fingerprint image processing model; and determining the target fingerprint trace image as a test fingerprint image for testing a fingerprint recognition device, where the fingerprint image processing model is obtained through training based on sets of fingerprint trace image samples and sets of real fingerprint image samples corresponding to respective fingers, a real fingerprint image is collected by a fingerprint sensor, and a degree of matching between a fingerprint in the target fingerprint trace image and a real fingerprint corresponding to the same finger is greater than or equal to a predetermined threshold.