OCR parameters tuning by means of evolution strategies for aircraft's tail number recognition

Abstract

This paper describes the optimisation of some parameters of an optical character recognition system (OCR). The optimisation is performed by means of evolution strategies (ES) in order to maximize the pattern discrimination. The pattern set is a vectorial representation of the character set. The OCR is applied to identify the tail number of an aircraft moving on the airfield runway. The proposed approach is discussed together with some results obtained on a benchmark data set of aircraft tail numbers.