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:
Mar. 28, 2023

Filed:

Jul. 01, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Sheng Nan Zhu, Shanghai, CN;

Guoqiang Hu, Shanghai, CN;

Yuan Yuan Ding, Shanghai, CN;

Peng Ji, Nanjing, CN;

Fan Li, Shanghai, CN;

Jian Xu, Shanghai, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/62 (2022.01); G06K 9/62 (2022.01); G06N 3/08 (2023.01); G06V 30/148 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/63 (2022.01); G06K 9/628 (2013.01); G06K 9/6268 (2013.01); G06N 3/08 (2013.01); G06V 30/153 (2022.01); G06V 30/10 (2022.01);
Abstract

A system, method, and computer program product provides a way to separate connected or adhered adjacent characters of a digital image for license plate recognition. As a threshold processing, the method performs a recognition of character adhesion by obtaining character parameters using an image processor. The parameters include a horizontal max crossing and a ratio of width and height. A first rule-based module is used responsive to the character parameters to distinguish the adhered characters (character adhesions) that are easy to judge, leaving the uncertain part to a character adhesion classifier model for discrimination. Character adhesion data is obtained by data augmentation including the adding of a random distance between two single characters to create class like adhered characters. Then the character adhesion classifier model of single character and character adhesion data is trained. Any uncertain part can be distinguished by the trained character adhesion classifier model.


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