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Proceedings Paper

Pattern recognition based on information theory principles
Author(s): Ahmed Ghali; Mohammad Farhang Daemi; R. L. Beurle; K. A. Al-Khateeb
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Paper Abstract

One of the main problems faced in the development of pattern recognition algorithms is assessment of their performance. This paper describes the development of a novel technique for the assessment of information content of 2-D patterns encountered in practical pattern recognition problems. The technique is demonstrated by its application to multi-font typed character recognition. In this work we first developed an information model applicable to any pattern, and its elaboration to measure recognition performance, and second we used this model to derive parameters such as the resolution required to distinguish between the patterns. This has resulted in a powerful method for assessing the performance of any pattern recognition system.

Paper Details

Date Published: 21 September 1994
PDF: 11 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186570
Show Author Affiliations
Ahmed Ghali, Univ. of Nottingham (United Kingdom)
Mohammad Farhang Daemi, Univ. of Nottingham (United Kingdom)
R. L. Beurle, Univ. of Nottingham (United Kingdom)
K. A. Al-Khateeb, Univ. of Sciences and Technology of Oran (Jordan)

Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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