An efficient method for graphics segmentation from document images

Major constituents of any document are text, graphics and half-tones. While half-tone can be characterised by its inherent intensity variation, text and graphics share common characteristics except difference in spatial distribution. The success of document image analysis systems depends on the proper segmentation of text and graphics as text is further subdivided into other classes like, heading, table, math-zones. Segmentation of graphics is essential for better OCR performance and vectorization in computer vision applications. Graphics segmentation from text is particularly difficult in the context of graphics made of small components (dashed or dotted lines etc.) which have many features similar to texts. Here vie propose a very efficient technique for segmenting all sorts of graphics from document pages.