Invention Publication
- Patent Title: ON-DEVICE ARTIFICIAL INTELLIGENCE SYSTEMS AND METHODS FOR DOCUMENT AUTO-ROTATION
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Application No.: US18503832Application Date: 2023-11-07
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Publication No.: US20240070462A1Publication Date: 2024-02-29
- 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: G06N3/08
- IPC: G06N3/08 ; G06N20/00 ; G06V10/24 ; G06V10/82 ; G06V30/148 ; G06V30/19 ; G06V30/414 ; H04N1/387 ; H04N1/40

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.
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