Title
Independent component analysis for document restoration
Abstract
We propose a novel approach to restoring digital document images, with the aim of improving text legibility and OCR performance. These are often compromised by the presence of artifacts in the background, derived from many kinds of degradations, such as spots, underwritings, and show-through or bleed-through effects. So far, background removal techniques have been based on local, adaptive filters and morphological-structural operators to cope with frequent low-contrast situations. For the specific problem of bleed-through/show-through, most work has been based on the comparison between the front and back pages. This, however, requires a preliminary registration of the two images. Our approach is based on viewing the problem as one of separating overlapped texts and then reformulating it as a blind source separation problem, approached through independent component analysis techniques. These methods have the advantage that no models are required for the background. In addition, we use the spectral components of the image at different bands, so that there is no need for registration. Examples of bleed-through cancellation and recovery of underwriting from palimpsests are provided.
Year
DOI
Venue
2004
10.1007/s10032-004-0121-8
IJDAR
Keywords
Field
DocType
Degraded documents,Blind source separation,Independent component analysis,Palimpsest restoration- Bleed-through cancellation
Legibility,Pattern recognition,Computer science,Optical character recognition,Digital image,Artificial intelligence,Independent component analysis,Adaptive filter,Blind signal separation,Image registration,Source separation
Journal
Volume
Issue
Citations 
7
1
51
PageRank 
References 
Authors
2.46
14
3
Name
Order
Citations
PageRank
Anna Tonazzini138239.07
Luigi Bedini224323.96
Emanuele Salerno325029.21