Methods and apparatus for end-to-end document image quality assessment using machine learning without having ground truth for characters
US11763581B1 · kind B1 · utility
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21Claims
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Key dates
| Filing date | Oct 17, 2022 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Oct 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/284
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus for end-to-end document image quality assessment without having ground truth for characters. An image quality assessment device integrates end-to-end machine learning without using ground truth to automatically predict an overall quality scores for images of documents. The image quality assessment device augments the size of individual image patches extracted from the images based on the contents and size of the images to maintain sufficient size of training data without compromising the reliability of the predicted scores for the images.
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