In this era of digitization, most hardcopy documents are being transformed into digital
formats. In the process of transformation, large quantities of documents are stored and …

This review provides a comprehensive view of the field of historical document image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

Documents often exhibit various forms of degradation, which make it hard to be read and
substantially deteriorate the performance of an OCR system. In this paper, we propose an …

DIBCO 2017 is the international Competition on Document Image Binarization organized in
conjunction with the ICDAR 2017 conference. The general objective of the contest is to …

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 …

DIBCO 2013 is the international Document Image Binarization Contest organized in the
context of ICDAR 2013 conference. The general objective of the contest is to identify current …

This paper presents a novel iterative deep learning framework and applies it to document
enhancement and binarization. Unlike the traditional methods that predict the binary label of …

Binarization of degraded historical manuscript images is an important pre-processing step
for many document processing tasks. We formulate binarization as a pixel classification …

This paper presents a new document image binarization technique that segments the text
from badly degraded historical document images. The proposed technique makes use of the …

Document images often suffer from different types of degradation that renders the document
image binarization a challenging task. This paper presents a document image binarization …