The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 06, 2021

Filed:

May. 16, 2019
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Prasenjit Mondal, West Bengal, IN;

Anuj Shara, Delhi, IN;

Ankit Bal, Noida, IN;

Deepanshu Arora, Delhi, IN;

Siddharth Kumar, Gurgaon, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/13 (2017.01); G06T 5/00 (2006.01); G06T 7/136 (2017.01); G06T 5/20 (2006.01); G06T 5/40 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06T 7/13 (2017.01); G06N 20/00 (2019.01); G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06T 5/40 (2013.01); G06T 7/136 (2017.01); G06T 2207/20032 (2013.01); G06T 2207/20061 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30176 (2013.01);
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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