Biological inspired Tools for Patrimonial Handwriting Denoising and Categorization
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
User-assisted ink-bleed correction for handwritten documents
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
MDA'06/07 Proceedings of the 2007 international conference on Advances in mass data analysis of signals and images in medicine biotechnology and chemistry
Multichannel blind separation and deconvolution of images for document analysis
IEEE Transactions on Image Processing
Color space transformations for analysis and enhancement of ancient degraded manuscripts
Pattern Recognition and Image Analysis
User-assisted ink-bleed reduction
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Handwriting documents denoising and indexing using hermite transform
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Registration of multi-spectral manuscript images
VAST'07 Proceedings of the 8th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
A ground truth bleed-through document image database
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Can modern technologies defeat nazi censorship?
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Hi-index | 0.00 |
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.