DocumentCode :
3455800
Title :
Text Location in Camera-Captured Guidepost Images
Author :
Sun, Qiaoyu ; Lu, Yue
Author_Institution :
Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
A method is proposed to locate text in camera- captured guidepost images. Firstly, due to its advantage of smoothing the low contrast information, mean shift method is applied to remove some complex background. In order to improve the time efficiency, we modify the traditional mean shift method. Secondly, two stage features are used for the edge map of image to classify it into candidate text blocks and background by K-means algorithm. Finally, the text blocks are identified according to some empirical rules and project profile analysis. Experimental results demonstrate that the proposed method can efficiently locate the text region contained in camera-captured guidepost images and be robust for font, size, color, language, alignment and complexity of background.
Keywords :
edge detection; image sensors; text analysis; camera captured guidepost images; image edge map; k-means algorithm; mean shift method; text location; Algorithm design and analysis; Classification algorithms; Feature extraction; Image color analysis; Image edge detection; Pixel; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659136
Filename :
5659136
Link To Document :
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