Title :
Deformed and Touched Characters Recognition
Author :
Hyuga, Tatsuhiro ; Wada, Hiroyuki ; Aizawa, Takehiro ; Ijiri, Yoshihisa ; Kawade, Masato
Author_Institution :
OMRON Corp., Kyoto, Japan
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;
Conference_Titel :
Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
Conference_Location :
Naha
DOI :
10.1109/ACPR.2013.193