WEB Image Classification Based on the Fusion of Image and Text Classifiers

This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that contextual information related to an image can contribute in the image classification process. First, independent classifiers are designed to deal with images and text. From the images color, shape and texture features are extracted. These features are used with a neural network (NN) classifier to carry out image classification. On the other hand, contextual information is processed and used with a Na

• Type: Conference
• Year: 2007
• Where: ICDAR
• Authors: Pedro R. Kalva, Fabrício Enembreck, Alessandro L. Koerich
• Keywords: Contextual Information, Document Analysis, ICDAR 2007, Image, Image Classification