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Title: Scanning behaviour and pattern recognition
Author: Lishman, John Rowland
ISNI:       0000 0004 2734 417X
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1976
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Two basic models of human pattern recognition have been advanced: feature analysis and hypothesis testing. These can only be discriminated by looking at behaviour before recognition. This is studied here by having the subject scan with a pen that writes only where the (invisible) picture is black. Although a computer simulation shows that it is possible and efficient, subjects scanning capital letters and simple shapes with this technique rarely use hypothesis testing.
Supervisor: Howe, Jim Sponsor: Medical Research Council (MRC) ; Nuffield Foundation
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Pattern perception ; Pattern recognition systems