In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

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

This paper summarizes the 3rd Book Structure Extraction competition that was run at the
ICDAR 2013. Its goal is to evaluate and compare automatic techniques for deriving structure …

This electronic document is a" live" template. The various components of your paper [title,
text, heads, etc.] are Abstract-Object detection in natural scenes has been widely researched …

This work focuses on the most commonly used binarization method: Sauvola's. It performs
relatively well on classical documents, however, three main defects remain: the window …

Most digital libraries that provide user-friendly interfaces, enabling quick and intuitive access
to their resources, are based on Document Image Analysis and Recognition (DIAR) …

In practice, PDF files may be generated by different tools and their character information
quality could be different. As a result, the approaches to detecting formulae from PDF …

Document image binarization is one of the critical initial steps for document analysis and
understanding. Previous work mostly focused on exploiting hand-crafted features to build …

The latest developments in the field of digital humanities have increasingly enabled the
construction of large data sets which can be easily accessed and used. These data sets …

This paper presents an objective comparative evaluation of layout analysis methods for
scanned historical newspapers. It describes the competition (modus operandi, dataset and …