Different approaches have been proposed in the past to address the challenge of extracting
text from scholarly figures. However, until recently, no comparative evaluation of the different …

So far, there has not been a comparative evaluation of different approaches for text
extraction from scholarly figures. In order to fill this gap, we have defined a generic pipeline …

In recent years, the problem of scene text extraction from images has received extensive
attention and significant progress. However, text extraction from scholarly figures such as …

This paper proposes OCR++, an open-source framework designed for a variety of
information extraction tasks from scholarly articles including metadata (title, author names …

Comic books are one of different forms of storytelling and entertainments around the word.
Through years, comic books have been widely spread. This fact has encouraged document …

Hundreds of millions of figures are available in biomedical literature, representing important
biomedical experimental evidence. Since text is a rich source of information in figures …

Purpose–The purpose of this paper is to propose an automatic metadata extraction and
retrieval system to extract bibliographical information from digital academic documents in …

We focus on electronic theses and dissertations (ETDs), aiming to improve access and
expand their utility, since more than 6 million are publicly available, and they constitute an …

Text extraction tools are vital for obtaining the textual content of computer files and for using
the electronic text in a wide variety of applications, including search and natural language …

In computer terminology, mining is considered as extracting meaningful information or
knowledge from a large amount of data/information using computers. The meaningful …