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Modern pattern recognition and the classification of works of art

Published online by Cambridge University Press:  06 June 2016

Igor Aleksander
Igor Aleksander*
Affiliation:
Department of Electrical Engineering and Electronics, Brunei University
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Abstract

Identification of a visual image by computer may be achieved by ‘training’ the system to recognise examples within determined classification categories. Certain methods of achieving this have been made more feasible (particularly financially) by the advancement of silicon chip technology. This paper explains the underlying principles, with particular reference to the WISARD system developed at Brunei University, and proposes some possible applications to the classification and retrieval of art images.

Type
Research Article
Information
Art Libraries Journal , Volume 7 , Issue 2 , Summer 1982 , pp. 61 - 66
Copyright
Copyright © The Art Libraries Society 1982

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References

(1) Aleksander, I., and Stonham, T. John. Guide pattern recognition using random-access memories. I.E.E. Journal of Computers and Digital Technology, vol. 2, no. 1, Feb. 1979, pp.29–35.CrossRefGoogle Scholar