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:
Jun. 02, 2020

Filed:

Jun. 28, 2019
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Mohammad Reza Sarshogh, Arlington, VA (US);

Keegan Hines, Washington, DC (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06K 9/32 (2006.01);
U.S. Cl.
CPC ...
G06K 9/46 (2013.01); G06K 9/3233 (2013.01); G06K 9/6256 (2013.01); G06K 9/6262 (2013.01); G06K 2209/01 (2013.01);
Abstract

Disclosed are methods, systems, and non-transitory computer-readable medium for localization and recognition of text from images. For instance, a first method may include: receiving an image; processing the image through a convolutional backbone to obtain feature maps(s); processing the feature maps through a region of interest (RoI) network to obtain RoIs; filtering the RoIs through a filtering block to obtain final RoIs; and processing the final RoIs through a text recognition stack to obtain predicted character sequences for the final RoIs. A second method may include: constructing a text localization and recognition neural network (TLaRNN); obtaining training data; training the TLaRNN on the training data; and storing trained weights of the TLaRNN. The constructing the TLaRNN may include: connecting a convolutional backbone to a region of interest (RoI) network; connecting the RoI network to a filtering block; and connecting the filtering block to a text recognition network.


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