This review provides a comprehensive view of the field of historical document image
binarization with a focus on the contributions made in the last decade. After the introduction …

Segmentation of text from badly degraded document images is a very challenging task due
to the high inter/intra-variation between the document background and the foreground text of …

Adaptive binarization methods play a central role in document image processing. In this
work, an adaptive and parameterless generalization of Otsu's method is presented. The …

State-of-the-art document dewarping techniques learn to predict 3-dimensional information
of documents which are prone to errors while dealing with documents with irregular …

Variations in inter-line gaps and skewed or curled text-lines are some of the challenging
issues in segmentation of handwritten text-lines. Moreover, overlapping and touching text …

Document image binarization has been studied for decades, and many practical binarization
techniques have been proposed for different kinds of document images. However, many …

In this paper, a phase-based binarization model for ancient document images is proposed,
as well as a postprocessing method that can improve any binarization method and a ground …

Almost all binarization methods have a few parameters that require setting. However, they
do not usually achieve their upper-bound performance unless the parameters are …

Adaptive binarization has been widely used in binarizing degraded document images. Most
of the adaptive methods, however, face two challenging problems: expensive computation …

Document image binarization is an important preprocessing technique for document image
analysis that segments the text from the document image backgrounds. Many techniques …