DocumentCode :
3340481
Title :
Detecting Gradients in Text Images Using the Hough Transform
Author :
Karatzas, Dimosthenis
Author_Institution :
Comput. Vision Centre, UAB, Barcelona
fYear :
2008
fDate :
16-19 Sept. 2008
Firstpage :
245
Lastpage :
252
Abstract :
The use of gradients in text images is nowadays quite frequent. Existing segmentation methods encounter serious problems when it comes to modern text images where gradients might appear in the background or the foreground or both at the same time. This paper presents an approach for lightness gradient areas detection based on the Hough Transform. The issues arising are discussed, and results are presented on a dataset comprising Web images, logos and scanned documents.
Keywords :
Hough transforms; image segmentation; text analysis; Hough transform; lightness gradient areas detection; segmentation methods; text images; Computer vision; Data visualization; Image analysis; Image edge detection; Image segmentation; Parametric statistics; Pixel; Shape; Text analysis; Web pages; Gradients; Hough Transform; Lightness; Text segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on
Conference_Location :
Nara
Print_ISBN :
978-0-7695-3337-7
Type :
conf
DOI :
10.1109/DAS.2008.55
Filename :
4669967
Link To Document :
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