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Recognition System of Car License Plate using Fuzzy Neural Networks

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2007, 12(5), pp.313-320
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kwang Baek Kim ORD ID 1 조재현 2

1신라대학교
2부산카톨릭대학교

Accredited

ABSTRACT

In this paper, we propose a novel method to extract an area of car licence plate and codes of vehicle number from a photographed car image using features on vertical edges and a new Fuzzy neural network algorithm to recognize extracted codes. Prewitt mask is used in searching for vertical edges for detection of an area of vehicle number plate and feature information of vehicle number palate is used to eliminate image noises and extract the plate area and individual codes of vehicle number. Finally, for recognition of extracted codes, we use the proposed Fuzzy neural network algorithm, in which FCM is used as the learning structure between input and middle layers and Max_Min neural network is used as the learning structure within inhibition and output layers. Through a variety of experiments using real 150 images of vehicle, we showed that the proposed method is more efficient than others.

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