ML Anthology

Matching of Double-Sided Document Images to Remove Interference

Qian Wang, Chew Lim Tan
CVPR 2001 pp. I:1084-1089
doi:10.1109/CVPR.2001.990651 /cvpr/2001/wang2001cvpr-matching/

Abstract

The National Archives of Singapore keeps a large volume of historical handwritten documents. One, common problem with the archives is that over the years, ink sipped through the pages of these documents such that characters on the reverse side become visible and interfere with the characters on the front side. This paper addresses this problem and develops a novel algorithm to extract clear textual images from the, interference. We achieve this by mapping images from both sides of a page such that interfering strokes seen on the front side are matched with the strokes originating from the reverse side so as to achieve a cancellation effect. The resultant image a further subjected to an improved Canny edge detection to eliminate remaining background interference. Experimental results have confirmed the validity of our proposed method.

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Cite

Text

Wang and Tan. "Matching of Double-Sided Document Images to Remove Interference." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990651

Markdown

[Wang and Tan. "Matching of Double-Sided Document Images to Remove Interference." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/wang2001cvpr-matching/) doi:10.1109/CVPR.2001.990651

BibTeX

@inproceedings{wang2001cvpr-matching,
  title     = {{Matching of Double-Sided Document Images to Remove Interference}},
  author    = {Wang, Qian and Tan, Chew Lim},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {I:1084-1089},
  doi       = {10.1109/CVPR.2001.990651},
  url       = {https://mlanthology.org/cvpr/2001/wang2001cvpr-matching/}
}