Restoration of archival documents using a wavelet technique

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Restoration of archival documents using a wavelet technique (2002)

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by Chew Lim Tan , Ruini Cao , Peiyi Shen

Venue:	IEEE Trans. on Pattern Analysis and Machine Intelligence
Citations:	34 - 8 self

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@ARTICLE{Tan02restorationof,
    author = {Chew Lim Tan and Ruini Cao and Peiyi Shen},
    title = {Restoration of archival documents using a wavelet technique},
    journal = {IEEE Trans. on Pattern Analysis and Machine Intelligence},
    year = {2002},
    volume = {24},
    pages = {1399--1404}
}

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Abstract

Abstract—This paper addresses a problem of restoring handwritten archival documents by recovering their contents from the interfering handwriting on the reverse side caused by the seeping of ink. We present a novel method that works by first matching both sides of a document such that the interfering strokes are mapped with the corresponding strokes originating from the reverse side. This facilitates the identification of the foreground and interfering strokes. A wavelet reconstruction process then iteratively enhances the foreground strokes and smears the interfering strokes so as to strengthen the discriminating capability of an improved Canny edge detector against the interfering strokes. The method has been shown to restore the documents effectively with average precision and recall rates for foreground text extraction at 84 percent and 96 percent, respectively. Index Terms—Document image analysis, wavelet enhancement, wavelet smearing, Canny edge detector, text extraction, image segmentation, bleedthrough, show-through, noise cancellation, denoising. 1

Keyphrases

interfering stroke archival document wavelet technique reverse side discriminating capability wavelet reconstruction process recall rate image segmentation improved canny edge detector index term document image analysis wavelet smearing wavelet enhancement foreground text extraction noise cancellation foreground stroke novel method corresponding stroke handwritten archival document average precision canny edge detector text extraction

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