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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2
Directional Wavelet Approach to Remove Document Image Interference
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
Qian Wang, National University of Singapore
Tao Xia, National University of Singapore
Chew Lim Tan, National University of Singapore
Lida Li, National University of Singapore
In this paper, we propose a directional wavelet approach to remove images of interfering strokes coming from the back of a historical handwritten document due to seeping of ink during long period of storage. Our previous work required mapping of both sides of the document in order to identify the interfering strokes to be eliminated. Perfect mapping, however, is difficult due to document skews, differing resolutions, non-availability of the reverse side and warped pages during scanning. The new approach does not require double-sided mapping but instead uses a directional wavelet transform to distinguish the foreground and reverse side strokes. Experiments have shown that the directional wavelet operation effectively removes the interfering strokes.
Citation:
Qian Wang, Tao Xia, Chew Lim Tan, Lida Li, "Directional Wavelet Approach to Remove Document Image Interference," icdar, vol. 2, pp.736, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
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