OCR: Unleash the hidden information

Hidden-Information Agency

OCR++: A Robust Framework For Information Extraction from Scholarly Articles

This paper proposes OCR++, an open-source framework designed for a variety of information extraction tasks from scholarly articles including metadata (title, author names, affiliation and e-mail), structure (section headings and body text, table and figure headings, URLs and footnotes) and bibliography (citation instances and references). We analyze a diverse set of scientific articles written ...

Unlocking the Hidden Information in Starlight

A provocative new result [1] by Mankei Tsang, Ranjith Nair, and Xiao-Ming Lu of the National University of Singapore suggests that a long-standing limitation to the precision of astronomical imaging, the Rayleigh criterion, proposed in 1879 [2] is itself only an apparition. Using quantum metrology techniques, the researchers have shown that two uncorrelated point-like light sources, such as sta...

Steganalysis: The Investigation of Hidden Information

The goal of steganography is to avoid drawing suspicion to the transmission of a hidden message. If suspicion is raised, then this goal is defeated. Discovering and rendering useless such covert messages is a new art form known as steganalysis. In this paper, we provide an overview of some characteristics in information hiding methods that direct the steganalyst to the existence of a hidden mes...

Evaluating OCR and Non - OCR Text

In literature, many feature types and learning algorithms are proposed for document classiication. However , an extensive and systematic evaluation of the various approaches has not been done yet. In order to investigate diierent text representations for document classiication, we have developed a tool which transforms documents into feature-value representations suitable for standard learning ...