License plate localization using a statistical analysis of Discrete Fourier Transform signal

Rami Al-Hmouz*, Khalid Aboura

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةمراجعة النظراء

14 اقتباسات (Scopus)

ملخص

License Plate Recognition (LPR) is a well-known problem and it has developed as a coherent framework. Research continues on the topic due to the diversity of license plates and outdoor illumination conditions which require attention. One of the most important steps in LPR is the localization part where license plates are extracted from video captured images. In this article we introduce a new approach of plate localization using a statistical analysis of Discrete Fourier Transform of the plate signal. The plate signal is represented by five statistics: strength of the signal, normalized maximum amplitude, frequency of maximum amplitude, frequency center and frequency spread. Combining with the color-based histogram thresholding, the method achieves 97.27% accuracy using plate signals from binary images. Comparative analysis is also reported.

اللغة الأصليةEnglish
الصفحات (من إلى)982-992
عدد الصفحات11
دوريةComputers and Electrical Engineering
مستوى الصوت40
رقم الإصدار3
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أبريل 2014

ASJC Scopus subject areas

  • ???subjectarea.asjc.2200.2207???
  • ???subjectarea.asjc.1700???
  • ???subjectarea.asjc.2200.2208???

بصمة

أدرس بدقة موضوعات البحث “License plate localization using a statistical analysis of Discrete Fourier Transform signal'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا