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Ward, Obie; Poulos, Cynthia – 1973
Various aspects of the Optical Mark Reader (OMR) used by the Atlanta Public School System are discussed. First considered are the required features of the OMR scanner. Following this, methods of motivating users to record data accurately are described. Finally, a description of how forms are designed for the convenience of users is provided. (PB)
Descriptors: Data Processing, Electronic Equipment, Information Processing, Optical Scanners
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
Wagner, Hans – 1973
The successful use of optical scanning at the University of the Pacific (UOP) indicates that such techniques can simplify a number of administrative data processing tasks. Optical scanning is regularly used at UOP to assist with data processing in the areas of admissions, registration and grade reporting and also has applications for other tasks…
Descriptors: Computer Oriented Programs, Data Processing, Electronic Equipment, Higher Education
Hall, John H. – 1975
Computers have been used in a variety of applications for athletics since the late 1950's. These have ranged from computer-controlled electric scoreboards to computer-designed pole vaulting poles. Described in this paper are a computer-based athletic injury reporting system and a computer-assisted football scouting system. The injury reporting…
Descriptors: Athletics, Computer Programs, Computers, Data Processing

Yu, John – 1972
The Instructional Management System (IMS) developed by the Southwest Regional Laboratory (SWRL) processes student and teacher-generated data through the use of an optical scanner that produces a magnetic tape (Scan Tape) for input to IMS. A series of computer routines, OPSN, preprocesses the Scan Tape and prepares the data for transmission to the…
Descriptors: Computer Programs, Data Processing, Flow Charts, Information Processing
Kraepelien, Hans – 1972
Computer routines for the translation of teacher-prepared mark sense forms to magnetic tape are described. The program, Receiving IMS (RIMS), is part of the Southwest Regional Laboratory's (SWRL) Instructional Management System (IMS). It accepts mark sense sheets from remotely located Xerox 660 scanner copiers and/or IMS update information from…
Descriptors: Computer Programs, Data Collection, Data Processing, Information Processing
Porch, Ann – 1971
Relative cost and effectiveness of techniques for preparing a computer compatible data base consisting of approximately one million words of natural language are outlined. Considered are dollar cost, ease of editing, and time consumption. Facility for insertion of identifying information within the text, and updating of a text by merging with…
Descriptors: Character Recognition, Computers, Cost Effectiveness, Data Processing
Liston, David M.; And Others – 1978
The ERIC network conversion to an OCR (Optical Character Recognition) mode of data entry was studied to analyze the potential effectiveness of OCR data entry for future EPC/s (Editorial Processing Centers). Study results are also applicable to any other system involving decentralized bibliographic data capture and conversion functions. The report…
Descriptors: Character Recognition, Citations (References), Cost Effectiveness, Data Collection
1968
RESEARCH AND DEVELOPMENT OF PROTOTYPE LIBRARY SYSTEMS WHICH UTILIZE OPTICAL CHARACTER RECOGNITION INPUT HAS CENTERED AROUND OPTICAL PAGE READERS AND DOCUMENT READERS. THE STATE-OF-THE-ART OF BOTH THESE OPTICAL SCANNERS IS SUCH THAT BOTH ARE ACCEPTABLE FOR LIBRARY INPUT PREPARATION. A DEMONSTRATION PROJECT UTILIZING THE TWO TYPES OF READERS, SINCE…
Descriptors: Book Catalogs, Character Recognition, Computers, Costs