Color text extraction from camera-based images: the impact of the choice of the clustering distance
Céline Mancas-Thillou, Bernard H. Gosselin · 2005
Character recognition has a continuous importance for several years and recently, new challenges appeared with camera-based pictures. This paper deals with text extraction for color natural scenes images. Many papers try to combine several color spaces or to choose the best one for a particular database. We show that the main problem is not in the choice of color spaces for generic text extraction but in the choice of clustering distances to handle alt degradations present in this kind of images. Comparative results are given using a public database.