Title :
Segmentation of handwritten interference marks using multiple directional stroke planes and reformalized morphological approach
Author :
Liang, Su ; Ahmadi, M. ; Shridhar, M.
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
fDate :
8/1/1997 12:00:00 AM
Abstract :
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
Keywords :
document image processing; edge detection; feature extraction; image recognition; image segmentation; mathematical morphology; algorithm; document image processing; handwritten interference marks; multiple direction projection planes; multiple directional stroke planes; printed documents; reformalized morphological approach; segmentation; skeleton images; words extraction; Degradation; Humans; Image recognition; Image segmentation; Interference; Morphological operations; Noise shaping; Shape; Skeleton; Testing;
Journal_Title :
Image Processing, IEEE Transactions on
