Sharpness-based frame selection for OCR
US9418316B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 29, 2014 |
| Grant date | Aug 16, 2016 |
| Priority date | — |
| Expiry date | Sep 29, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A process for training and optimizing a system to select video frames for optical character recognition (OCR) based on feature metrics associated with blur and sharpness. A set of image frames are subjectively labelled based on a comparison of each frame before and after binarization to determine to what degree text is recognizable in the binary image. A plurality of different sharpness feature metrics are generated based on the original frame. A classifier is then trained using the feature metrics and the subjective labels. The feature metrics are then tested for accuracy and/or correlation with subjective labelling data. The set of feature metrics may be refined based on which metrics produce the best results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.