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.

• Type: Journal
• Year: 2009
• Where: ICDAR
• Authors: Hongye Wang, Youbin Chen
• Keywords: Document Analysis, ICDAR 2009, Logo Candidate, Logo Detection, Logos