An environment for processing images of historical documents
Selected papers of the short notes session on Euromicro '94
Binarizing and filtering historical documents with back-to-front interference
Proceedings of the 2006 ACM symposium on Applied computing
A quantitative method for assessing algorithms to remove back-to-front interference in documents
Proceedings of the 2007 ACM symposium on Applied computing
BigBatch – an environment for processing monochromatic documents
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
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Whenever one finds documents written on both sides on translucent paper there is a "back-to-front interference". The direct binarization of such documents yields unreadable documents. This paper presents a fast segmentation-based method for generating high-quality binarized images of documents with back-to-front interference. The proposed segmentation algorithm is based on the entropy of the histogram of the image.