This review provides a comprehensive view of the field of historical document image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 …

Document image enhancement methods are often used to improve the accuracy and
efficiency of automated document analysis and recognition tasks such as character …

Binarization plays an important role in document analysis and recognition (DAR) systems. In
this paper, we present our winning algorithm in ICFHR 2018 competition on handwritten …

Document image binarization is an important step in the document image analysis and
recognition pipeline. H-DIBCO 2014 is the International Document Image Binarization …

This paper re-visits classical problems in document enhancement. Rather than proposing a
new algorithm for a specific problem, we introduce a novel general approach. The key idea …

Convolutional neural networks (CNNs) have previously been broadly utilized to binarize
document images. These methods have problems when faced with degraded historical …

This paper proposes a nonlinear edge-preserving diffusion equation with an adaptive
source term for binarization of degraded document images. The role of nonlinear diffusion …

Document image binarization is often a challenging task due to various forms of
degradation. Although there exist several binarization techniques in literature, the binarized …

Binarization of images of old documents is considered a challenging task due to the wide
diversity of degradation effects that can be found. To deal with this, many algorithms whose …

Digitized documents such as scientific articles, tax forms, invoices, contract papers, historic
texts are widely used nowadays. These document images could be degraded or damaged …