DocumentCode
2149557
Title
Recognition of Multiple Characters in a Scene Image Using Arrangement of Local Features
Author
Iwamura, Masakazu ; Kobayashi, Takuya ; Kise, Koichi
Author_Institution
Grad. Sch. of Eng., Osaka Prefecture Univ., Sakai, Japan
fYear
2011
fDate
18-21 Sept. 2011
Firstpage
1409
Lastpage
1413
Abstract
Recognizing characters in a scene helps us obtain useful information. For the purpose, character recognition methods are required to recognize characters of various sizes, various rotation angles and complex layout on complex background. In this paper, we propose a character recognition method using local features having several desirable properties. The novelty of the proposed method is to take into account arrangement of local features so as to recognize multiple characters in an image unlike past methods. The effectiveness and possible improvement of the method are discussed.
Keywords
character recognition; image recognition; natural language processing; complex background; complex layout; local feature arrangement; multiple character recognition; rotation angles; scene image; Artificial neural networks; Character recognition; Feature extraction; Image recognition; Image segmentation; Robustness; Shape; character recognition in a scene; complex background; local features;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location
Beijing
ISSN
1520-5363
Print_ISBN
978-1-4577-1350-7
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2011.283
Filename
6065542
Link To Document