Invention Grant
- Patent Title: Document boundary detection using deep learning model and image processing algorithms
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Application No.: US16413922Application Date: 2019-05-16
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Publication No.: US10970847B2Publication Date: 2021-04-06
- Inventor: Prasenjit Mondal , Anuj Shara , Ankit Bal , Deepanshu Arora , Siddharth Kumar
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Finch & Maloney PLLC
- Main IPC: G06T7/13
- IPC: G06T7/13 ; G06T5/00 ; G06T7/136 ; G06T5/20 ; G06T5/40 ; G06N20/00

Abstract:
Techniques are disclosed for document boundary detection (BD) from an input image using a combination of deep learning model and image processing algorithms. Quadrilaterals approximating the document boundaries in the input image are determined and rated separately using both these approaches: deep leaning using convolutional neural network (CNN) and heuristics using image processing algorithms. Thereafter, the best rated quadrilateral is selected from the quadrilaterals obtained from both the approaches.
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