Skip to main content
SpringerLink
Log in

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

  • Research Article
  • Published:
EURASIP Journal on Advances in Signal Processing Submit manuscript

Abstract

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 moving on the airport. The proposed approach is discussed and some results are obtained using a benchmark data set. This research demonstrates the successful application of ES to a difficult, noisy, and real-world problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. Departamento de Informática, EPS, Universidad Carlos III de Madrid, 28911, Leganés, Madrid, Spain

    Antonio Berlanga, Jesús García Herrero & José M. Molina

  2. GPDS, Departamento Señales, Sistemas y Radiocomunicaciónes, ESTIT, Universidad Politécnica de Madrid, Madrid, 28040, Spain

    Juan A. Besada, Javier I. Portillo & José R. Casar

Authors
  1. Antonio Berlanga
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Juan A. Besada
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jesús García Herrero
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. José M. Molina
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Javier I. Portillo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. José R. Casar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonio Berlanga.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Berlanga, A., Besada, J.A., Herrero, J.G. et al. Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers. EURASIP J. Adv. Signal Process. 2004, 968972 (2004). https://doi.org/10.1155/S1110865704312084

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1155/S1110865704312084

Keywords and phrases

Search

Navigation