On-device artificial intelligence systems and methods for document auto-rotation
US11509795B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 14, 2021 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Jun 14, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N1/40012
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
An auto-rotation module having a single-layer neural network on a user device can convert a document image to a monochrome image having black and white pixels and segment the monochrome image into bounding boxes, each bounding box defining a connected segment of black pixels in the monochrome image. The auto-rotation module can determine textual snippets from the bounding boxes and prepare them into input images for the single-layer neural network. The single-layer neural network is trained to process each input image, recognize a correct orientation, and output a set of results for each input image. Each result indicates a probability associated with a particular orientation. The auto-rotation module can examine the results, determine what degree of rotation is needed to achieve a correct orientation of the document image, and automatically rotate the document image by the degree of rotation needed to achieve the correct orientation of the document image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.