Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40250
Title: Matching of double-sided document images to remove interference
Authors: Wang, Q.
Tan, C.L. 
Issue Date: 2001
Source: Wang, Q.,Tan, C.L. (2001). Matching of double-sided document images to remove interference. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 1 : I1084-I1089. ScholarBank@NUS Repository.
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 is further subjected to an improved Canny edge detection to eliminate remaining background interference. Experimental results have confirmed the validity of our proposed method.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/40250
ISSN: 10636919
Appears in Collections:Staff Publications

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