Invention Application
- Patent Title: ON-DEVICE ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR DOCUMENT AUTO-ROTATION
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Application No.: US17347527Application Date: 2021-06-14
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Publication No.: US20210306517A1Publication Date: 2021-09-30
- Inventor: Christopher Dale Lund
- Applicant: OPEN TEXT SA ULC
- Applicant Address: CA Halifax
- Assignee: OPEN TEXT SA ULC
- Current Assignee: OPEN TEXT SA ULC
- Current Assignee Address: CA Halifax
- Main IPC: H04N1/387
- IPC: H04N1/387 ; H04N1/40 ; G06N20/00 ; G06K9/00 ; G06K9/34

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.
Public/Granted literature
- US11509795B2 On-device artificial intelligence systems and methods for document auto-rotation Public/Granted day:2022-11-22
Information query