Fast logo detection based on morphological features in document images
Sina Hassanzadeh, Hossein Pourghassem · 2011
In this paper, a novel fast logo detection approach in document images is presented. Logos with separated parts usually can affect the logo detection process. To overcome this problem, some specifications of logos are considered. Our proposed method divided in three main sections. In the first section, a horizontal dilation operator is used to merge separated parts of logo in horizontal direction. In the second section, a simple decision classifier is applied for classifying logo and non-logo. In the final section, a modifying operation for detecting separated-part-logo, logo which has separated part, based on two specifications is used. These specifications include centroid coordinate and intersection of each logo's separated part bounding box. The proposed approach is evaluated on a public document image database and international logos. Experimental results show its performance in logo detection problem.