Title :
Newspaper page decomposition using a split and merge approach
Author :
Hadjar, Karim ; Hitz, Oliver ; Ingold, Rolf
Author_Institution :
DIUF, Fribourg Univ., Switzerland
fDate :
6/23/1905 12:00:00 AM
Abstract :
Indexing large newspaper archives requires automatic page decomposition algorithms with high accuracy. In this paper, we present our approach to an automatic page decomposition algorithm developed for the First International Newspaper Segmentation Contest. Our approach decomposes the newspaper image into image regions, horizontal and vertical lines, text regions and title areas. Experimental results are obtained from the data set of the contest
Keywords :
document image processing; image segmentation; merging; publishing; First International Newspaper Segmentation Contest; accuracy; automatic page decomposition algorithm; horizontal lines; image decomposition; image regions; newspaper archives; split-and-merge approach; text regions; title areas; vertical lines; Costs; Data preprocessing; Image analysis; Image recognition; Image segmentation; Image texture analysis; Indexing; Labeling; Merging; Pixel;
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
DOI :
10.1109/ICDAR.2001.953972
