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. 10, 2021

Filed:

Jan. 28, 2020
Applicant:

Samsung Electronics Co., Ltd., Gyeonggi-do, KR;

Inventors:

Dohyeon Kim, Gyeonggi-do, KR;

Dongki Kim, Gyeonggi-do, KR;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06T 11/60 (2006.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06K 9/00402 (2013.01); G06K 9/4642 (2013.01); G06N 3/08 (2013.01); G06K 2209/01 (2013.01); G06K 2209/013 (2013.01);
Abstract

An electronic device and method are disclosed herein. The electronic device includes: a processor, and a memory operatively connected to the processor. The processor implements the method, including: receive an input of handwritten text including characters, set corpus line key points indicating a substantial-top positions of the characters included in the handwritten text and base line key points indicating a substantial bottom positions of the characters, calculate at least a first feature value based on at least one corpus line key point from among the corpus line key points, and a second feature value based on at least one extracted base line key point from among the base line key points, respectively, input the calculated first feature value into a first neural network to cause the first neural network to generate a first result value, input the calculated second feature value into a second neural network to cause the second neural network to generate a second result value, and input the first result value and the second result value into a fully connected neural network to generate a third result value.


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