Document Image Binarization using Multiple Binarization Techniques for Degraded Documents |
Author(s): |
| S Tejasvi , Chhatrapati Shivaji Institute of Technology; Shashikantagrawal, Chhatrapati Shivaji Institute of Technology |
Keywords: |
| Document Image Binarization, Degrade Document Images, Global Threshold, Segmentation |
Abstract |
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This paper presents an approach for document image binarization, which is usually performed in the preprocessing i.e. in the initial stage of multiple document image processing related applications. The proposed method is associated with different binarization methodologies in which the gray scale image is converted as well as the efficient adoption of the edge information of the gray scale image i.e. the source image. An elevated step based on mathematical morphology operations is involved to produce a rich quality result while upholding stroke information. The proposed method corroborated excellent performance against six well-known techniques on various degraded handwritten and printed documents. The performance evaluation is based on visual criteria as well as on an objective evaluation methodology. |
Other Details |
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Paper ID: IJSRDV5I80345 Published in: Volume : 5, Issue : 8 Publication Date: 01/11/2017 Page(s): 510-513 |
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