DocumentCode :
1580555
Title :
Segmenting document images using diagonal white runs and vertical edges
Author :
Waked, Boulos ; Suen, Ching Y. ; Bergler, Sabine
Author_Institution :
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
194
Lastpage :
199
Abstract :
We introduce a technique based on diagonal white runs and vertical edges, that divides a document image into columns and blocks which are subsequently classified as text or graphics. A diagonal white run (drun) is a set of adjacent white pixels that are diagonally connected, and a vertical edge consists of the white area between two consecutive druns. This technique was designed as a layout-independent approach. Testing the proposed approach on document images with 14 different types and layouts, written in different languages, shows comparative and promising results
Keywords :
document image processing; edge detection; image classification; image segmentation; blocks; columns; diagonal white runs; diagonally connected adjacent white pixels; document image segmentation; druns; graphics; image classification; languages; layout-independent approach; text; vertical edges; white area; Graphics; Image segmentation; Layout; Machine intelligence; Merging; Pattern recognition; Smoothing methods; Streaming media; Testing; White spaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
Type :
conf
DOI :
10.1109/ICDAR.2001.953782
Filename :
953782
Link To Document :
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