Segmentation of handwritten interference marks using multiple directional stroke planes and reformalized morphological approach

A new algorithm for the extraction of words from printed documents that have interference marks and other strokes, cutting across text, is presented. Morphological operations based on multiple direction projection planes and skeleton images are adopted here to prevent the "flooding water" effect of conventional morphological operations. Test results indicate the feasibility of the proposed approach.