Optical character recognition

Results: 1166



#Item
681Business / Accountability / Public records / Project management / Optical character recognition / Records management / Electronic document and records management system / Document management system / Personally identifiable information / Information technology management / Content management systems / Administration

Imaging of Text-based Information Resources Directive March 2014 RDIMS #204403

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Source URL: www.armancr.ca

Language: English - Date: 2014-08-19 07:54:15
682Tagged Image File Format / Optical character recognition / Artificial intelligence / Computing / Science / Artificial intelligence applications / Automatic identification and data capture / Abbreviations

Imaging of Text-based Information Resources Business Rules March 2013 RDIMS #746332

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Source URL: www.armancr.ca

Language: English - Date: 2014-08-19 07:54:15
683Deforestation / Office work / Paper / Paperless office / Sustainability / Office equipment / Backup / Data storage device / Optical character recognition / Computing / Information science / Information

take_control_of_your_paperless_office.ppt

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Source URL: www.fortmac.org

Language: English - Date: 2013-04-19 11:23:57
684Library science / Archival science / Content management systems / Document imaging / Microform / Imaging science / Medical imaging / Records management / Optical character recognition / Information science / Science / Information technology management

Document Imaging Technology for Arizona Government Records Page 3 Chapter 1 – Film-based Imaging A BRIEF HISTORY

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Source URL: www.azlibrary.gov

Language: English - Date: 2014-01-04 12:03:40
685Optical character recognition / Digital typography / Typesetting / Unicode / ABBYY / Symbol / TeX / Document / ConTeXt / Software / Application software / Typography

Unsupervised Transcription of Historical Documents Taylor Berg-Kirkpatrick Greg Durrett Dan Klein Computer Science Division University of California at Berkeley {tberg,gdurrett,klein}@cs.berkeley.edu Abstract

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Source URL: nlp.cs.berkeley.edu

Language: English - Date: 2014-11-13 15:24:07
686FineReader / National Library of Latvia / Science / Computing / Information / Optical character recognition / Digitizing / ABBYY

Next steps in newspaper digitization: making use of digitized texts at NLL IFLA Newspapers pre-conference Geneva, [removed]Arturs Zogla

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Source URL: www.ifla.org

Language: English - Date: 2014-08-17 00:14:56
687Optical character recognition / Disability / Rehabilitation Act / Oxford /  Cambridge and RSA Examinations / Law / Artificial intelligence / Special education in the United States / Education / Section 504 of the Rehabilitation Act

Milton A. Gordon President California State University, Fullerton 800 North State Boulevard Fullerton, California[removed]In reply, please refer to Docket Number[removed].)

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Source URL: www.galvin-group.com

Language: English - Date: 2011-08-22 13:39:52
688Automatic identification and data capture / Optical character recognition / Artificial intelligence applications / Graphics file formats / Open formats / Portable Document Format / Digitizing / Microsoft Office Document Imaging / Proofreading / Computing / Science / Artificial intelligence

PDF Converter Production of Historical Newspaper Digitization: the picture experience of China’s DaChengLaoJiu Database DING Xiaowen ; HUANG Weiqun (Jiangsu Administration Institute ;Shenzhen Administration Institute

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Source URL: www.ifla.org

Language: English - Date: 2014-08-16 07:09:14
689Stock-keeping unit / Manoa / Artificial intelligence applications / Optical character recognition / Scantron / Artificial intelligence

UH Mānoa Bookstore Computer Department Scantron Price List Apperson 882-Compatible Answer Form

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Source URL: www.uhbooks.hawaii.edu

Language: English - Date: 2014-09-03 17:21:57
690Computational linguistics / Natural language processing / Evaluation of machine translation / Information retrieval / Searching / Optical character recognition / N-gram / Accuracy and precision / METEOR / Science / Statistics / Linguistics

Submitted on: [removed]Analyzing and Improving the Quality of a Historical News Collection using Language Technology and Statistical Machine Learning Methods Kimmo Kettunen Center for Preservation and Digitisation, Nati

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Source URL: www.ifla.org

Language: English - Date: 2014-08-16 07:12:35
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