earticle

논문검색

Moroccan-style PlateS Recognition Based on Support Vectors Machines

초록

영어

In this work we will create a system of recognition of Moroccan plate-style vehicle license plates using the invariant moments in features extraction and the support vectors machines such as Moroccan plate is slightly treated by researchers in pattern recognition field. In this context we propose a data set for Moroccan plates composed of 100 images capted with Samsung I9000 mobile camera with maximum resolution 2560 x 1920 dpi. For this purpose we have used in our system is composed by three main phases: the preprocessing of plates followed by the extraction of primitives with invariant moments method in order to convert each image into a vector number which is nothing other than an information extracted from this plate just to differentiate the others. Finally, our recognition system will end with a classification phase by the support vectors machines (SVM). Finally, the recognition system has been proved to be accurate and efficient by the experiment results.

목차

Abstract
 1. Introduction
 2. Recognition System
 3. Plates Database
 4. Pre-Processing
 5. Features Extraction
  5.1. Moments of Images
 6. Recognition
 7. Experiments and Results
 8. Conclusion
 References

저자정보

  • B. El Kessab Laboratory of Information Processing and Decision Aids, Faculty of Science and Technology, BP 523, Beni Mellal, Morocco
  • C. Daoui Laboratory of Information Processing and Decision Aids, Faculty of Science and Technology, BP 523, Beni Mellal, Morocco
  • B. Bouikhalene Laboratory of Information Processing and Decision Aids, Faculty of Science and Technology, BP 523, Beni Mellal, Morocco

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.