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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
Tallman, Oliver H. – 1970
A digital simulation of a model for the processing of visual images is derived from known aspects of the human visual system. The fundamental principle of computation suggested by a biological model is a transformation that distributes information contained in an input stimulus everywhere in a transform domain. Each sensory input contributes under…
Descriptors: Artificial Intelligence, Character Recognition, Computer Programs, Cybernetics

Deitel, Harvey M. – Journal for Vocational Special Needs Education, 1984
Reviews applications of computer and communications technologies for persons with visual, hearing, physical, speech, and language impairments, as well as the effects of technologies on transportation, work at home, education, and other aspects affecting the employment of the disabled. (SK)
Descriptors: Artificial Intelligence, Artificial Speech, Character Recognition, Communications