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| Character Recognition | 4 |
| Optical Scanners | 3 |
| Information Retrieval | 2 |
| Information Systems | 2 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| Bibliographies | 1 |
| Data Processing | 1 |
| Databases | 1 |
| Error Correction | 1 |
| Error Patterns | 1 |
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| Journal of the American… | 4 |
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| Journal Articles | 4 |
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| Reports - Descriptive | 1 |
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Peer reviewedVoos, Henry – Journal of the American Society for Information Science, 1980
Highlights the advantages of using holography for information storage, character recognition, file security systems, and other applications. (FM)
Descriptors: Bibliographies, Character Recognition, Holography, Information Storage
Peer reviewedSun, 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
Peer reviewedPearce, 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
Peer reviewedTaghva, Kazem; And Others – Journal of the American Society for Information Science, 1994
Discusses the use of optical character recognition (OCR) for inputting documents in an information retrieval system and describes a study that used an OCR-generated database and its corresponding corrected version to examine query evaluation in the presence of noisy data. Scanning technology, recognition technology, and retrieval technology are…
Descriptors: Character Recognition, Data Processing, Databases, Evaluation Methods
