Paper
9 March 1999 Framework for the evaluation and selection of algorithms for pattern recognition problems
Ahmed Sharaf Eldin, A. S. Nouh
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Abstract
This paper presents a methodology to evaluate and compare different algorithms for general pattern recognition problems. An abstract framework for considering the selection of algorithms is presented and used for the character recognition problem. It includes a problem space, an algorithm space, a subset of algorithms from which selection is to be made, and measures of the performance of algorithms. Numerical experiments are run to evaluate some statistical algorithms for the character recognition problem.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed Sharaf Eldin and A. S. Nouh "Framework for the evaluation and selection of algorithms for pattern recognition problems", Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); https://doi.org/10.1117/12.341319
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KEYWORDS
Detection and tracking algorithms

Pattern recognition

Distance measurement

Optical character recognition

Algorithms

Binary data

Partial differential equations

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