Pattern recognition based on information theory principles
Ahmed Ghali, Mohammad F. Daemi, R.L. Beurle, K.A.S. Al-Khateeb · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.