Sciweavers

Share
ICDAR
2009
IEEE

Logo Detection in Document Images Based on Boundary Extension of Feature Rectangles

10 years 11 months ago
Logo Detection in Document Images Based on Boundary Extension of Feature Rectangles
A new method of logo detection in document images is proposed in this paper. It is based on the boundary extension of feature rectangles of which the definition is also given in this paper. This novel method takes advantage of a layout assumption that logos have background (white spaces) surrounding it in a document. Compared with other logo detection methods, this new method has the advantage that it is independent on logo shapes and very fast. After the logo candidates are detected, a simple decision tree is used to reduce the false positive from the logo candidate pool. We have tested our method on a public image database involving logos. Experiments show that our method is more precise and robust than the previous methods and is well qualified as an effective assistance in document retrieval.
Hongye Wang, Youbin Chen
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Hongye Wang, Youbin Chen
Comments (0)
books