Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/115403
Title: Document image enhancement using directional wavelet
Authors: Wang, Q.
Xia, T. 
Li, L.
Tan, C.L.
Issue Date: 2003
Citation: Wang, Q.,Xia, T.,Li, L.,Tan, C.L. (2003). Document image enhancement using directional wavelet. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2 : II/534-II/539. ScholarBank@NUS Repository.
Abstract: This paper proposes a novel algorithm to clean up a large collection of historical handwritten documents kept in the National Archives of Singapore. Due to the seepage of ink over long period of storage, the front page of each document has been severely marred by the reverse side writing. Earlier attempts have been made to match both sides of a page to identify the offending strokes originating from the back so as to eliminate them with the aid of a wavelet transform. Perfect matching, however, is difficult due to document skews, differing resolutions, inadvertently missing out reverse side and warped pages during image capture. A new approach is now proposed to do away with double side mapping by using a directional wavelet transform that is able to distinguish the foreground and reverse side strokes much better than the conventional wavelet transform. Experiments have shown that the method indeed enhances the readability of each document significantly after the directional wavelet operation without the need for mapping with its reverse side.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/115403
ISSN: 10636919
Appears in Collections:Staff Publications

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