Descriptor
Character Recognition | 54 |
Optical Scanners | 54 |
Information Retrieval | 12 |
Data Processing | 11 |
Higher Education | 10 |
Information Processing | 10 |
Access to Information | 9 |
Computer Software | 9 |
Online Systems | 9 |
Databases | 8 |
Information Technology | 7 |
More ▼ |
Source
Author
Publication Type
Education Level
Audience
Practitioners | 5 |
Researchers | 2 |
Media Staff | 1 |
Laws, Policies, & Programs
Americans with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating

Krishnamoorthy, M.; And Others – Library Hi Tech, 1993
Describes a project conducted at Rensselaer Polytechnic Institute (New York) that developed methods for automatically subdividing pages from technical journals into smaller semantic units for transmission, display, and further processing in an electronic environment. Topics discussed include optical scanning and image compression, digital image…
Descriptors: Character Recognition, Optical Scanners, Scholarly Journals, Semantics

Rahn, Erwin – Library Hi Tech, 1984
Discusses the evolution of standards for bar codes (series of printed lines and spaces that represent numbers, symbols, and/or letters of alphabet) and describes the two types most frequently adopted by libraries--Code-A-Bar and CODE 39. Format of the codes is illustrated. Six references and definitions of terminology are appended. (EJS)
Descriptors: Character Recognition, Definitions, Information Retrieval, Library Automation

Robbins, Donald C. – Special Libraries, 1972
The application of Electronic Data Processing (EDP) has been a boon in the analysis and bibliographic control of music. However, an extra step of encoding must be undertaken for input of music. The best hope to facilitate musical input is the development of an Optical Character Recognition (OCR) music-reading machine. (29 references) (Author/NH)
Descriptors: Bibliographies, Character Recognition, Data Processing, Input Output
Featheringham, Richard D. – J Bus Educ, 1969
Descriptors: Business Education, Character Recognition, Data Processing, Equipment Utilization

Tseng, Yuen-Hsien – Journal of the American Society for Information Science and Technology, 2001
Describes efforts in supporting information retrieval from OCR (optical character recognition) degraded text. Reports on approaches used in an automatic cataloging and searching contest for books in multiple languages, including a vector space retrieval model, an n-gram indexing method, and a weighting scheme; and discusses problems of Asian…
Descriptors: Character Recognition, Indexing, Information Retrieval, Languages
Defense Documentation Center, Alexandria, VA. – 1968
This unclassified-unlimited bibliography contains 183 references, with abstracts, dealing specifically with optical or graphic information processing. Citations are grouped under three headings: display devices and theory, character recognition, and pattern recognition. Within each group, they are arranged in accession number (AD-number) sequence.…
Descriptors: Bibliographies, Character Recognition, Display Systems, Information Processing

Swensson, Paul – Journalism Educator, 1976
Indicates that electronic equipment can produce a high quality newspaper at lower costs, according to an informal survey. (RB)
Descriptors: Automation, Character Recognition, Editing, Journalism

Grotophorst, Clyde W. – Library Hi Tech, 1989
Discusses the use of optical character recognition (OCR) technology to produce an ASCII text database. A tutorial on digital scanning and OCR is provided, and a systems integration project which used the Calera CDP-3000XF scanner and text retrieval software to construct a database of dissertations at George Mason University is described. (four…
Descriptors: Academic Libraries, Character Recognition, Computer Software, Databases

Henthorne, Eileen – Information Technology and Libraries, 1995
Describes a project at the Princeton University libraries that converted the pre-1981 public card catalog, using digital imaging and optical character recognition technology, to fully tagged and indexed records of text in MARC format that are available on an online database and will be added to the online catalog. (LRW)
Descriptors: Character Recognition, Databases, Indexing, Library Catalogs

Sun, Wei; And Others – Journal of the American Society for Information Science, 1992
Identifies types and distributions of errors in text produced by optical character recognition (OCR) and proposes a process using machine learning techniques to recognize and correct errors in OCR texts. Results of experiments indicating that this strategy can reduce human interaction required for error correction are reported. (25 references)…
Descriptors: Artificial Intelligence, Automation, Character Recognition, Error Correction

Pearce, Claudia; Nicholas, Charles – Journal of the American Society for Information Science, 1996
Presents experimentation results for the TELLTALE system, a dynamic hypertext environment that provides full-text search from a hypertext-style user interface for text corpora that may be garbled by OCR (optical character recognition) or transmission errors, and that may contain languages other than English. (Author/LRW)
Descriptors: Character Recognition, Full Text Databases, Hypermedia, Information Retrieval
National Bureau of Standards (DOC), Washington, DC. – 1976
This publication provides materials relating to the design, preparation, acquisition, inspection, and application of Optical Character Recognition (OCR) forms in data entry systems. Since the materials are advisory and tutorial in nature, this publication has been issued as a guideline rather than as a standard in the Federal Information…
Descriptors: Business Communication, Character Recognition, Data Processing, Government Publications
Schantz, Herbert F. – Document Image Automation, 1993
Explains the value of neurocomputing as a unique and effective new technological concept for information processing and optical character recognition. Comparisons are made to digital computing and examples of applications such as recognizing handprinted characters are addressed. Products available from various companies are described. (Contains…
Descriptors: Character Recognition, Comparative Analysis, Computer Software, Digital Computers
Marsden, Jim – School Business Affairs, 1993
Desktop scanners can be used with a software technology called optical character recognition (OCR) to convert the text on virtually any paper document into an electronic form. OCR offers educators new flexibility in incorporating text into tests, lesson plans, and other materials. (MLF)
Descriptors: Character Recognition, Computer Peripherals, Computer Uses in Education, Elementary Secondary Education
Lazzaro, Joseph J. – Byte, 1993
Describes adaptive technology for personal computers that accommodate disabled users and may require special equipment including hardware, memory, expansion slots, and ports. Highlights include vision aids, including speech synthesizers, magnification, braille, and optical character recognition (OCR); hearing adaptations; motor-impaired…
Descriptors: Assistive Devices (for Disabled), Braille, Character Recognition, Computer Peripherals