DocumentCode
3498347
Title
Towards restoring historic documents degraded over time
Author
Drira, Fadoua
Author_Institution
Lab. d´´Informatique en Image et Syst. d´´Inf., CNRS, Lyon
fYear
2006
fDate
27-28 April 2006
Lastpage
357
Abstract
Resorting to restoration techniques for heritage documents becomes an increasingly urgent need. In fact, these valuable resources for human being are subject to several types of degradations limiting their use. A proposed solution to this problem is the application of restoration techniques on the digital copy of the originally degraded document. This would improve human readability and allow further application of image processing techniques. Hence identifying a typology of different types of image degradation is of primary concern for use in restoration techniques. Our main contributions in this paper are twofold. In the first instance, we propose a typology for different types of degradation of old document images. Our proposed typology is lead by the type of image processing undertaken in the course of virtual restoration. The second contribution is to develop a restoration method treating specific document degradation: "ink bleed-through". The proposed method is a non-supervised segmentation method. It is based on a recursive segmentation approach applied to the principal component analysis space. As an illustration, a scheme of "ink bleed-through" removal of the provided document images by the archive of "Chatillon-Chalaronne" is presented. Experiments conducted on these real ancient document images illustrate the effectiveness of our proposed method
Keywords
document image processing; image restoration; image segmentation; principal component analysis; degraded documents; heritage documents; historic documents restoration; image degradation; image processing; ink bleed-through removal; nonsupervised segmentation; principal component analysis; recursive segmentation; virtual restoration; Character recognition; Degradation; Humidity; Image converters; Image processing; Image restoration; Image segmentation; Internet; Local government; Software libraries;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on
Conference_Location
Lyon
Print_ISBN
0-7695-2531-8
Type
conf
DOI
10.1109/DIAL.2006.43
Filename
1612977
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