Title :
Binarization of Documents with Complex Backgrounds
Author :
Rao, A. Venkata Srinivasa ; Sreenivasu, Tinnathi ; Rao, Nekkanti Venkata ; Sastry, A.S.C.S. ; Reddy, L. Pratap ; Prabhu, T. S Krishna
Author_Institution :
ECE Dept., SVEC, Tadepalligudem, India
Abstract :
In this paper, a novel heuristic based approach adopted from George D.C. Calvacanti algorithm for removing background noise from all types of images with complex background is presented. In this approach Binarization is done by selecting two threshold values, one for foreground and another for background for the separation. Morphological techniques are used for improving the quality of the resultant image. In addition to this PSNR ratio is calculated for all the images and its variation with respect to the intensity of the background noise is observed.
Keywords :
document image processing; image denoising; mathematical morphology; George.D.C.Calvacanti algorithm; background noise removal; documents binarization; image resultant quality improvement; images denoising; morphological techniques; Background noise; Cultural differences; Degradation; Document image processing; Image analysis; Image converters; Machine vision; PSNR; Pixel; Text analysis; Binarization; Document Image Processing; Document with complex background;
Conference_Titel :
Machine Vision, 2009. ICMV '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-0-7695-3944-7
Electronic_ISBN :
978-1-4244-5645-1
DOI :
10.1109/ICMV.2009.9
