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License Plate Character Segmentation Based on the Gabor Transform and Vector Quantization

  • Fatih Kahraman
  • Binnur Kurt
  • Muhittin Gökmen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2869)

Abstract

This paper presents a novel algorithm for license plate detection and license plate character segmentation problems by using the Gabor transform in detection and local vector quantization in segmentation. As of our knowledge this is the first application of Gabor filters to license plate segmentation problem. Even though much of the research efforts are devoted to the edge or global thresholding-based approaches, it is more practical and efficient to analyze the image in certain directions and scales utilizing the Gabor transform instead of error-prone edge detection or thresholding. Gabor filter response only gives a rough estimate of the plate boundary. Then binary split tree is used for vector quantization in order to extract the exact boundary and segment the plate region into disjoint characters which become ready for the optical character recognition.

Keywords

Vector Quantization Gabor Filter Optical Character Recognition License Plate Plate Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Fatih Kahraman
    • 1
  • Binnur Kurt
    • 2
  • Muhittin Gökmen
    • 2
  1. 1.Institute of InformaticsIstanbul Technical UniversityMaslakIstanbul
  2. 2.Computer Engineering DepartmentIstanbul Technical UniversityMaslakIstanbul

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