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:
Aug. 14, 2018

Filed:

May. 15, 2015
Applicant:

Snappt, Seattle, WA (US);

Inventors:

Charles Broadus, Bothel, WA (US);

Ben Demboski, Seattle, WA (US);

Paul Watts, Seattle, WA (US);

Masanori King Takee, Lynnwood, WA (US);

James A Billmaier, Woodinville, WA (US);

Kristopher C Billmaier, Kirkland, WA (US);

David P Billmaier, Woodinville, WA (US);

Assignee:

TURBOPATENT,CORP., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/20 (2006.01); G06T 11/60 (2006.01); G06T 5/00 (2006.01); G06T 1/00 (2006.01); G06T 7/60 (2017.01); G06T 3/40 (2006.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06T 1/0007 (2013.01); G06T 3/40 (2013.01); G06T 5/002 (2013.01); G06T 7/60 (2013.01); G06T 11/203 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20182 (2013.01); G06T 2210/12 (2013.01);
Abstract

A method of creating an editable image and editable text from a hand-drawn or other static two-dimensional diagram may include receiving a raw image from an image acquisition device; modifying the raw image to a modified image to reduce noise, normalize raw image data, and reduce pixels; recognizing horizontal, vertical, and diagonal lines in the modified image using a line recognizer; connecting the lines in the modified image to form connected lines using a connector that detects and joins proximally positioned terminal ends of the lines in the modified image; recognizing areas bounded by the connected lines as bounded objects using a bounded object recognizer; and/or identifying and classifying the bounded objects using an object identifier.


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