Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers

Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers

The design of statistical classification systems for optical character recognition (OCR) is a cumbersome task. This paper proposes a method using evolutionary strategies (ES) to evolve and upgrade the set of parameters in an OCR system. This OCR is applied to identify the tail number of aircrafts mo...

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Bibliographic Details
Main Authors: Antonio Berlanga, Juan A. Besada, Jesús García Herrero, José M. Molina, Javier I. Portillo, José R. Casar
Format: Article
Language:English
Published: SpringerOpen 2004-07-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
aircraft recognition
evolutionary strategies for OCR
statistical pattern classifier
image processing.
Online Access:http://dx.doi.org/10.1155/S1110865704312084

Internet

http://dx.doi.org/10.1155/S1110865704312084

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