DocumentCode :
594791
Title :
A character recognition method in natural scene images
Author :
Gonzalez, Adriana ; Bergasa, Luis M. ; Yebes, J. Javier ; Bronte, S.
Author_Institution :
Dept. of Electron., Univ. of Alcala, Alcalá de Henares, Spain
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
621
Lastpage :
624
Abstract :
Reading text from scene images is a challenging problem that is receiving much attention, especially since the appearance of imaging devices in low-cost consumer products like mobile phones. This paper presents an easy and fast method to recognize individual characters in images of natural scenes that is applied after an algorithm that robustly locates text on such images. The recognition is based on a gradient direction feature. Our approach also computes the output probability for each class of the character to be recognized. The proposed feature is compared to other features typically used in character recognition. Experimental results with a challenging dataset show the good performance of the proposed method.
Keywords :
character recognition; feature extraction; gradient methods; natural scenes; probability; text detection; fast method; gradient direction feature; individual character recognition method; natural scene images; output probability; text localisation; text reading; Character recognition; Histograms; Image edge detection; Robustness; Shape; Text recognition; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460211
Link To Document :
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