DocumentCode
1651340
Title
Deformed and Touched Characters Recognition
Author
Hyuga, Tatsuhiro ; Wada, Hiroyuki ; Aizawa, Takehiro ; Ijiri, Yoshihisa ; Kawade, Masato
Author_Institution
OMRON Corp., Kyoto, Japan
fYear
2013
Firstpage
744
Lastpage
745
Abstract
In this demonstration, we will show our Optical Character Recognition(OCR) technique. Character deformation and touching problems often occur during high-speed printing process in the machine vision industry. As a result, it is difficult for OCR system to segment and recognize characters properly. To solve these problems, we propose a novel OCR technique which is robust against deformation and touching. It splits regions of characters simply and excessively, recognizes all segments and merged regions, and obtains optimal segments using graph theory.
Keywords
computer vision; graph theory; optical character recognition; OCR technique; deformed characters recognition; graph theory; high-speed printing process; machine vision industry; merged regions; optical character recognition; optimal segments; touched characters recognition; Character recognition; Image segmentation; Industries; Object segmentation; Optical character recognition software;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
Conference_Location
Naha
Type
conf
DOI
10.1109/ACPR.2013.193
Filename
6778421
Link To Document