This paper presents a novel topic consisting in detecting advertisements in digitized documents. The system's mains uses are locating and filtering ads. A color segmentation approach which is strong to digitization noise is introduced. The color separation output is used to carry out layout segmentation in document pages and to compute visual features that control the classification process. Block classification results, given with a variety of magazine/newspaper pages, are presented and discussed.