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 :
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