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:
Jul. 02, 2019

Filed:

Aug. 24, 2018
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Vijay S. Yellapragada, Mountain View, CA (US);

Peijun Chiang, Mountain View, CA (US);

Sreeneel K. Maddika, Mountain View, CA (US);

Assignee:

INTUIT INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06T 3/40 (2006.01); G06T 7/11 (2017.01); G06F 16/58 (2019.01); G06F 16/93 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00442 (2013.01); G06F 16/58 (2019.01); G06F 16/93 (2019.01); G06K 9/00483 (2013.01); G06K 9/46 (2013.01); G06K 9/6201 (2013.01); G06T 3/40 (2013.01); G06T 7/11 (2017.01); G06K 2009/4666 (2013.01); G06T 2207/30176 (2013.01);
Abstract

Techniques are disclosed for performing optical character recognition (OCR) by identifying a template based on a hash of a document. One embodiment includes a method for identifying a template associated with an image. The method includes receiving a digital image, a portion of the image depicting a first document, and extracting the portion of the image. The method further includes scaling the portion of the image and generating a first hash from the scaled image. The method further includes comparing the first hash to a set of hashes, each corresponding to a template. The method further includes selecting a first template as corresponding to the first document based on comparing the first hash to the set of hashes and extracting one or more sections of the portion of the image based on the selected first template. The method further includes performing OCR on the extracted one or more sections.


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