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:
Sep. 26, 2023

Filed:

Jan. 14, 2022
Applicant:

Bank of Montreal, Toronto, CA;

Inventors:

Bo Wu, Toronto, CA;

Ching Leong Wan, Toronto, CA;

Yuefei Zhu, Toronto, CA;

Bo Wan, Toronto, CA;

Seyed Hamed Yaghoubi Shahir, Toronto, CA;

Assignee:

BANK OF MONTREAL, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/146 (2022.01); G06N 3/082 (2023.01); G06N 3/04 (2023.01); G06V 30/413 (2022.01); G06V 40/30 (2022.01); G06V 30/19 (2022.01); G06V 30/226 (2022.01); G06V 10/82 (2022.01); G06V 30/412 (2022.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06N 3/04 (2013.01); G06V 10/82 (2022.01); G06V 30/1478 (2022.01); G06V 30/19147 (2022.01); G06V 30/226 (2022.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 40/33 (2022.01);
Abstract

Disclosed are methods and systems for using artificial intelligence (AI) for image recognition by using predefined coordinates to extract a portion of a received image, the extracted portion comprising a word to be identified having at least a first letter and a second letter; executing an image recognition protocol to identify the first letter; when the server is unable to identify the second letter, the server executes an AI model having a nodal data structure to identify the second letter based upon the identified first letter, the nodal data structure comprising a set of nodes where each node represents a letter, each node connected to at least one other node, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used in a word subsequent to a letter corresponding to the first node.


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