Pattern recognition based on information theory principles

Ahmed Ghali; Mohammad Farhang Daemi; R. L. Beurle; K. A. Al-Khateeb

doi:10.1117/12.186570

21 September 1994 Pattern recognition based on information theory principles

Ahmed Ghali, Mohammad Farhang Daemi, R. L. Beurle, K. A. Al-Khateeb

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186570
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Ahmed Ghali, Mohammad Farhang Daemi, R. L. Beurle, and K. A. Al-Khateeb "Pattern recognition based on information theory principles", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186570

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