DocumentCode
3140077
Title
Segmentation of color documents by line oriented clustering using spatial information
Author
Worring, Marcel ; Todoran, Leon
Author_Institution
Intelligent Sensory Inf. Syst., Amsterdam Univ., Netherlands
fYear
1999
fDate
20-22 Sep 1999
Firstpage
67
Lastpage
70
Abstract
In this contribution we introduce a new method for global segmentation of color documents with a structure based on text frames and pictures. It is based on an extensive analysis of the expected shape of clusters in RGB-color space. The method provides an improved segmentation over k-means based clustering, and gives a proper basis for indexing and layout analysis. Results are promising
Keywords
document image processing; image colour analysis; image segmentation; indexing; RGB-color space; color documents segmentation; global segmentation; indexing; k-means based clustering; layout analysis; line oriented clustering; pictures; spatial information; text frames; Clustering algorithms; Color; Image coding; Image segmentation; Indexing; Intelligent systems; Morphology; Shape; Text analysis; Tiles;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location
Bangalore
Print_ISBN
0-7695-0318-7
Type
conf
DOI
10.1109/ICDAR.1999.791726
Filename
791726
Link To Document