Title :
On foreground-background separation in low quality color document images
Author :
Garain, Utpal ; Paquet, Thierry ; Heutte, Laurent
Author_Institution :
Comput. Vision & Pattern Recognition Unit, Indian Stat. Inst., Kolkata, India
fDate :
29 Aug.-1 Sept. 2005
Abstract :
This paper proposes an adaptive method for separation of foreground and background in low quality color document images. A connected component labelling is initially implemented to capture the spatially connected similar color pixels. Next, dominant background components are determined to divide the entire image into number of grids each representing local uniformity in illumination, background, etc. Finally foreground parts are located using local information around them. Several color images of old historical documents including manuscripts of high importance are used in the experiment. Apart from a qualitative evaluation, results are quantitatively compared with one popular foreground/background separation technique.
Keywords :
document image processing; image colour analysis; adaptive foreground-background separation; component labelling; low quality color document image; Clustering algorithms; Computer vision; Image color analysis; Image segmentation; Internet; Labeling; Layout; Lighting; Pattern recognition; Smoothing methods;
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2420-6
DOI :
10.1109/ICDAR.2005.174