Title :
OCR parameters tuning by means of evolution strategies for aircraft´s tail number recognition
Author :
Berlanga, A. ; García-Herrero, J. ; Molina, J.M. ; Besada, J. ; Portillo, J.
Author_Institution :
ETSI Telecomunicacion, Univ. Politecnica de Madrid, Spain
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
Keywords :
aerospace computing; aircraft; evolutionary computation; optical character recognition; OCR; aircraft tail number recognition; benchmark data set; character set; evolution strategies; image-based aircraft identification system; optical character recognition system; optimisation; parameter tuning; pattern discrimination; vectorial representation; Aerospace control; Aircraft; Airports; Character recognition; Expert systems; Optical character recognition software; Surface morphology; Tail; Telecommunications; Testing;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1007045
