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

A. Berlanga, J. G. Herrero, J. M. Molina, J. Besada, J. Portillo
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引用次数: 4

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.
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基于进化策略的飞机尾号识别OCR参数整定
本文介绍了光学字符识别系统(OCR)中一些参数的优化。利用进化策略(ES)对模型进行优化,使模式识别能力最大化。模式集是字符集的向量表示。OCR用于识别在机场跑道上移动的飞机的尾号。最后对该方法进行了讨论,并给出了在飞机尾号基准数据集上的一些结果。
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