Automated Moire Fringe Removal for Face Verification
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Solution Overview
Problem
Current face verification methods involving moire fringe watermarked images require manual processing and skilled operators, leading to lower efficiency and accuracy due to the need for manual image processing and noise removal.
Innovation Solution
A computer-implemented face verification method and device that automatically removes moire fringes using a preset moire fringe removal model and performs characteristic extraction using a preset moire fringe removed face verification model, enabling automated face verification without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processing is used to remove moire fringes, then processing can be performed, but face verification efficiency is reduced and accuracy is lowered
Solution Approach 1:
The patent replaces the manual mechanical processing system with an automated computational system. A moire fringe removal model based on deep learning algorithms automatically processes the images, eliminating the need for manual operator intervention while maintaining or improving both accuracy and efficiency.
Solution Approach 2:
The system enables self-service processing where the moire fringe removal model autonomously identifies and removes moire patterns from images without requiring skilled operators. The automated workflow includes automatic image acquisition, processing, and verification result output.
2Reliability
If manual operations are performed by skilled operators, then moire fringes can be removed, but the process becomes complex and time-consuming
Solution Approach 1:
The patent substitutes the complex manual operational process with an automated deep learning-based moire fringe removal model. This computational approach simplifies the overall process complexity while maintaining high reliability in moire fringe removal quality through algorithmic consistency.
Solution Approach 2:
The system performs preliminary action by pre-training the moire fringe removal model on diverse image data before actual verification. This preprocessing step ensures the model is ready to automatically handle various image types and moire patterns, reducing the need for complex adaptive adjustments during actual operation.
3Productivity
If automated processing is implemented, then efficiency is improved, but the system requires complex models and algorithms
Solution Approach 1:
The patent applies preliminary action by pre-training the deep learning models on extensive datasets before deployment. The moire fringe removal model and face verification model are prepared in advance, allowing automated processing to proceed efficiently without requiring complex real-time adjustments or interventions.
Solution Approach 2:
The system introduces an intermediary moire fringe removal model that acts as a bridge between the raw image with moire patterns and the final face verification process. This intermediary component handles the complexity of moire removal, allowing the subsequent verification process to operate more simply and efficiently.
Data Source
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Figure 2b~2c
AI summary
Embodiments of the application provide a face verification method and device, and a computer storage medium. In the method, a moire fringe face image to be verified and an initial face image are acquired; a moire fringe removal operation is performed on the moire fringe face image by using a preset moire fringe removal model to acquire a moire fringe removed face image; characteristic extraction is performed on the moire fringe removed face image by using a preset moire fringe removed face verification model to acquire a moire fringe removed face characteristic, and characteristic extraction is performed on the initial face image by using the preset moire fringe removed face verification model to acquire an initial face characteristic; and face verification is performed on the moire fringe removed face image and the initial face image based on the moire fringe removed face characteristic and the initial face characteristic.