An environment for processing images of historical documents
Selected papers of the short notes session on Euromicro '94
The Segmentation and Identification of Handwriting in Noisy Document Images
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
A new algorithm for removing noisy borders from monochromatic documents
Proceedings of the 2004 ACM symposium on Applied computing
Circular Noises Removal from Scanned Document Images
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
DIAR: Advances in Degradation Modeling and Processing
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Color Scratches Removal Using Human Perception
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Show-through cancellation in scans of duplex printed documents
IEEE Transactions on Image Processing
Suppression of noise in historical photographs using a fuzzy truncated-median filter
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Thanatos: automatically retrieving information from death certificates in Brazil
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
HistDoc v. 2.0: enhancing a platform to process historical documents
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
De-blurring textual document images
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Statistically analyzing RGB histograms to remove highlighting in aged paper monochromatic documents
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
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A taxonomy encompasses not only a classification methodology, but also an explicative theory of the phenomena that justify such classification. This paper introduces a taxonomy for noise in images of paper documents and details the Physical Noises according to the proposed taxonomy.