Classification of regions extracted from scene images by morphological filters in text or non-text using decision tree

Abstract

We present in this work a new method to classify regions extracted from scene images by morphological filters in text or nontext region using a decision tree. Our technique can be divided into three parts. Firstly, we extract a set of regions by a robust scheme based on morphological filters. Then, after a refinement, a set of text attributes is obtained for each region. In the last step, a decision tree is built in order to classify them as text or non-text regions. Experiments performed using images from the ICDAR public dataset show that this method is a good alternative for practical problems involving text location in scene images.