Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …

Document layout analysis usually relies on computer vision models to understand
documents while ignoring textual information that is vital to capture. Meanwhile, high quality …

Multimedia data mining, particularly feature selection (FS), has been successfully applied in
recent classification and recognition works. However, only a few studies in the contemporary …

Feature selection is generally considered a very important step in any pattern recognition
process. Its aim is that of reducing the computational cost of the classification task, in an …

It is generally agreed that the selection of an appropriate set of features is a fundamental
process in the development of any pattern recognition system. Its purpose is to identify the …

We present a Fully Convolutional Network based method for layout analysis of non-
binarized historical Arabic manuscripts. The document image is segmented into main text …

This paper presents layout analysis for historical Arabic documents using siamese network.
Given pages from different documents, we divide them into patches of similar sizes. We train …

Segmenting handwritten document images into regions with homogeneous patterns is an
important pre-processing step for many document images analysis tasks. Hand-labeling …

In the course of the mass digitization of historical as well as contemporary sources, an
individual examination by means of historical or forensic experts is no longer feasible. A …

There are several digital libraries worldwide which maintain valuable historical manuscripts.
Usually, digital copies of these manuscripts are offered to researchers and readers in raster …