NDLI: Document image enhancement using directional wavelet

Content Provider	IEEE Xplore Digital Library
Author	Qian Wang Tao Xia Lida Li Chew Lim Tan
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore (Qian Wang)
Abstract	This paper proposes an algorithm to clean up a large collection of historical handwritten documents kept up 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 the 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. An 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 over after the directional wavelet operation without the need for mapping with its reverse side.
Sponsorship	IEEE Comput. Soc Tech. Committee on Pattern Anal. & Machine Intelligence (TCPAMI)
File Size	949181
File Format	PDF
ISBN	0769519008
ISSN	10636919
DOI	10.1109/CVPR.2003.1211513
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image enhancement Wavelet transforms Ink Writing Image resolution Computer science Information processing Mathematics Approximation algorithms Background noise
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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