Document image binarization is a challenging task, especially when it comes to text
segmentation in degraded document images. The binarization, as a pre-processing step of …

Historical document processing (HDP) corresponds to the task of converting the physical-
bind form of historical archives into a web-based centrally digitized form for their …

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 …

Image binarization is still a challenging task in a variety of applications. In particular,
Document Image Binarization Contest (DIBCO) is organized regularly to track the state-of …

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

Modeling the activated sludge wastewater treatment plant plays an important role in
improving its performance. However, there are many limitations of the available data for …

Abstract Convolutional Neural Networks have systematically shown good performance in
Computer Vision and in Handwritten Text Recognition tasks. This paper proposes the use of …

Document image binarization classifies each pixel in an input document image as either
foreground or background under the assumption that the document is pseudo binary in …

This paper presents a new adaptive approach for document image binarization. The
proposed method is mainly based on the combination of several state-of-the-art binarization …

In this paper, we address the document image binarization problem with a three-stage
procedure. First, possible stains and general document background information are …