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:
Dec. 22, 2020

Filed:

Sep. 21, 2018
Applicant:

Abbyy Production Llc, Moscow, RU;

Inventors:

Ivan Germanovich Zagaynov, Dolgoprudniy, RU;

Pavel Valeryevich Borin, Tomsk, RU;

Assignee:

ABBYY PRODUCTION LLC, Moscow, RU;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/54 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 3/40 (2006.01); G06T 5/00 (2006.01); G06T 5/30 (2006.01); G06T 5/50 (2006.01); G06T 11/60 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06K 9/54 (2013.01); G06K 9/628 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 3/40 (2013.01); G06T 5/002 (2013.01); G06T 5/007 (2013.01); G06T 5/30 (2013.01); G06T 5/50 (2013.01); G06T 11/60 (2013.01); G06K 2209/01 (2013.01); G06T 5/004 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01);
Abstract

Systems and methods for training image processing neural networks by synthetic photorealistic indicia-bearing images. An example method comprises: generating an initial set of images, wherein each image of the initial set of images comprises a rendering of a text string; producing an augmented set of images by processing the initial set of images to introduce, into each image of the initial set of image, at least one simulated image defect; generating a training dataset comprising a plurality of pairs of images, wherein each pair of images comprises a first image selected from the initial set of images and a second image selected from the augmented set of images; and training, using the training dataset, a convolutional neural network for image processing.


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