This review provides a comprehensive view of the field of historical document image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

The binarization of degraded document images is a challenging problem in terms of
document analysis. Binarization is a classification process in which intra-image pixels are …

This paper presents an effective approach for the local threshold binarization of degraded
document images. We utilize the structural symmetric pixels (SSPs) to calculate the local …

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 …

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 …

Scanned images of historical documents often suffer from bleed-through, which refers to the
ink on one side seeping through the paper and appearing on the other side. In this paper, a …

We present a fully trainable solution for binarization of degraded document images using
extremely randomized trees. Unlike previous attempts that often use simple features, our …

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

This paper presents an enhanced historical document image binarization technique that
makes use of background estimation and energy minimization. Given a degraded historical …

Owing to the elevated intra/inter variation among the foreground and background text of
various document images, the text segmentation from the poorly degraded document …