Title :
A labeling approach for mixed document blocks
Author :
Belaïd, A. ; Akindele, O.T.
Author_Institution :
CRIN-CNR/Inria-Lorraine, Vandoevre-les-Nancy, France
Abstract :
A block image labeling method is presented. It does not assume that the blocks to be treated are already segmented or that they contain homogeneous data. It is based on connected component analysis to label the blocks´ contents as small letter text, medium letter text, large letter text, graphics or photographs, giving the percentage of each of these components with respect to the surface area it occupies. It uses a recursive algorithm that allows one to improve on the result of segmentation. The performance of the method is given
Keywords :
document image processing; image segmentation; block image labeling method; connected component analysis; graphics; inhomogeneous data; large letter text; medium letter text; mixed document blocks; performance; photographs; recursive algorithm; segmentation; small letter text; surface area; unsegmented text; Algorithm design and analysis; Data mining; Feature extraction; Graphics; Image recognition; Image segmentation; Labeling; Performance analysis; Surface treatment;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395629
