A highly intelligent OCR (optical character recognition) software for creating editable and searchable electronic files from scanned paper documents, PDFs and digital photographs.
Features:
• recognition of Digital Camera and Mobile Phone Camera Images
• comprehensive Language Support
• complete Integration with Popular Office Applications
• PDF conversion, archiving and security
A&H use case 1 description:
The “Digital Library of Core e-Resource on Ireland” project has used ABBYY Fine Reader to digitise collections of Irish journals, monographs, manuscripts and pamphlets.
A software tool capable of performing Optical Character Recognition (OCR) upon a set of images. It achieves the task by analysing pixel sets and in an image and cross-matching them to a dictionary of words. Omnipage automates large sections of the digitisation process enabling physical objects to be scanned, processed using the OCR software and exported to a document file format. Later versions of the software incorporate image enhancement features to improve scan quality (and recognition results) and better support for complex page layouts and forms.
Features:
• Integration with scanning software
• Maintain layout of captured document
A&H use case 1 description:
The Cahiers pour l’analyse project is using Omnipage to OCR text from the French philosophy journal, Cahiers pour l’analyse.
The Centre for e-Research at King's College London is seeking to appoint a Software Developer to work on the OCRopodium project, a JISC-funded project investigating the use of the open source OCRopus software (http://sites.google.com/site/ocropus/) for applying Optical Character Recognition (OCR) to historical and archival material.
The Digital Medievalist Community of Practice
(http://www.digitalmedievalist.org/) is sponsoring two sessions at the
Forty-Fifth International Congress on Medieval Studies, May 7-10,
(for those of you who speak (some) German) Mitarbeiter/in Forschung und Entwicklung: Digitale Bibliothek, Österreichische Nationalbibliothek
Für ein EU-Forschungsprojekt mit dem Schwerpunkt OCR (Volltexterkennung) in der Massendigitalisierung historischer Buchbestände suchen wir zum ehestmöglichen Eintritt, befristet bis 31.12.2011 eine/n engagierte/n Mitarbeiter/in.
