Text/image separation in document images based on statistical analysis of texture and morphological operations

The separation of text / image is a major step in the processing of documents images. It consists of separating the document into two classes: text and image. In this context, it is important to implement approaches that can handle such documents. This paper presents a new method of separating text / image into a document image. The method developed is based on statistical analysis of texture and morphological operations. This is, initially, to calculate the energy for each pixel, using a method to extract features such as co-occurrence matrix and we have applied the morphological operations. we have tested this method on a database of 150 newspapers. The experimental results show satisfactory values and are very promising.