Title:
PRINTED CHARACTER RECOGNITION
Document Type and Number:
WIPO Patent Application WO/2020/127589
Kind Code:
A3
Abstract:
A computer-implemented method for recognising a printed character string is provided. The method comprises receiving an image comprising the character string, the character string comprising a plurality of characters, determining a readability quality for each character in the character string and selecting at least one anchor character based at least in part on the readability quality of the characters in the character string. The identity of the at least one anchor character is determined using a character recognition algorithm and the identity of the character string recognised based on the at least one identified anchor character.
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Inventors:
VENGALIL VEENA (SG)
MUGAD RAVI (SG)
KUMAR JITENDRA (SG)
SETHI KAMAL DEEP (SG)
MUGAD RAVI (SG)
KUMAR JITENDRA (SG)
SETHI KAMAL DEEP (SG)
Application Number:
PCT/EP2019/086100
Publication Date:
July 30, 2020
Filing Date:
December 18, 2019
Export Citation:
Assignee:
CONTINENTAL AUTOMOTIVE GMBH (DE)
International Classes:
G06V30/10
Foreign References:
| US9367753B2 | 2016-06-14 |
Other References:
FAVATA J T ET AL: "OFFLINE RECOGNITION OF HANDWRITTEN CURSIVE WORDS", 1 January 1992, MACHINE VISION APPLICATIONS IN CHARACTER RECOGNITION AND INDUSTRIAL INSPECTION. SAN JOSE, FEB. 10 - 12, 1992; [MACHINE VISION APPLICATIONS IN CHARACTER RECOGNITION AND INDUSTRIAL INSPECTION], BELLINGHAM, SPIE, US, PAGE(S) 224 - 234, ISBN: 978-0-8194-0815-0, XP000633713
Attorney, Agent or Firm:
LEE, Daniel (DE)
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