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Robust Document Image Binarization Technique For Degraded Document Images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Saini, Sonia Dogra, Richa |
| Copyright Year | 2015 |
| Abstract | Image segmentation is a set of segments that collectively cover the entire image ,or set of contours extracted from the image. In the process of improving degraded document images segmentation is one of the difficult task due to back ground and foreground variation. This paper presents a new approach for enhancement of degraded documents. Image binarization is the process of parting of pixels into dual collections black as foreground and white as background. Thresholding has found to be a well known technique used for binarization of document images. In degraded documents where extensive background noise or difference in the contrast and brightness exist, there exist many pixels which cannot be categorized effortlessly as foreground and background. In such cases local thresholding has significant over available techniques. The main objective of this paper is to evaluate the different image binarization techniques to find the gaps in the existing techniques. |
| Starting Page | 165 |
| Ending Page | 168 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Volume Number | 3 |
| Alternate Webpage(s) | http://www.gpcpublishing.org/index.php/gjct/article/download/272/pdf_25 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
