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