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Correlation Methods of OCR Algorithm for Traffic Sign Detection Implementable in Microcontrollers

  • Conference paper
International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 189))

Abstract

This paper focuses on the correlation methods applicable for the recognition system of speed limit traffic signs and correlation methods comparison. The correlation method is one possible manner of the OCR algorithm (Optical Character Recognition) used to determine the degree of similarity between the input matrix and the defined pattern matrix. The presented correlation methods are verified using the proposed comparison algorithm, where the output data are evaluated by statistical methods of the exploratory statistic data analysis. The part of the recognition system for OCR algorithm proceeds is very time consuming and the limitation of microcontroller type depends on frequency instruction processing. High accuracy of the recognition system can be achieved by increasing the resolution of camera system, by segmentation methods of input image signal, correlation method type.

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Author information

Authors and Affiliations

  1. VSB - Technical University of Ostrava, Ostrava, Czech Republic

    Radim Hercik, Roman Slaby, Zdenek Machacek & Jiri Koziorek

Authors
  1. Radim Hercik
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  2. Roman Slaby
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  3. Zdenek Machacek
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  4. Jiri Koziorek
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Editor information

Editors and Affiliations

  1. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Álvaro Herrero

  2. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  3. MIR Labs, Scientific Network for Innovation, Machine Intelligence Research Labs, Auburn, 98071, USA

    Ajith Abraham

  4. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Ivan Zelinka

  5. , Department of Civil Engineering, University of Burgos, Campus Vena (Edif.C), C/ Francisco de Vitoria, s/n, Burgos, 09006, Spain

    Bruno Baruque

  6. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Héctor Quintián

  7. University of Coruña, Avda. 19 de febrero, s/n, Coruña, 15405 A, Spain

    José Luis Calvo

  8. y León, Pol. Ind. Villalonquéjar, Instituto Tecnológico de Castilla, Lopez Bravo 70, Burgos, 09001, Spain

    Javier Sedano

  9. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Emilio Corchado

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Hercik, R., Slaby, R., Machacek, Z., Koziorek, J. (2013). Correlation Methods of OCR Algorithm for Traffic Sign Detection Implementable in Microcontrollers. In: Herrero, Á., et al. International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33018-6_39

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  • DOI: https://doi.org/10.1007/978-3-642-33018-6_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33017-9

  • Online ISBN: 978-3-642-33018-6

  • eBook Packages: EngineeringEngineering (R0)

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