Using Mean Shift for Iranian license plate detection
سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 369
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شناسه ملی سند علمی:
JR_SPRE-3-1_005
تاریخ نمایه سازی: 23 تیر 1398
چکیده مقاله:
In this paper, Mean Shift (MS) as a clustering algorithm is used to localize the Iranian license plate. In this procedure after clustering, based on the optimized MS method, we applied the geometrical features and edge density in order to remove those parts in every cluster, which cannot be the license plate. The main advantages of MS are no need to know the number of clusters and it is completely independent of the Iranian license plate characters colors or background colors. However, for MS implementation, we should only predetermine a parameter named bandwidth. The experimental results show that our proposed method achieves appropriate performance. We should mention that our system accuracy for optical (OP) with 300 images is 94.6% and for infrared (IR) with 80 images is 98.3%.
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نویسندگان
Mohtaram Zandian
Islamic Azad University, South Tehran Branch
Sedigheh Ghofrani
Islamic Azad University Tehran South Branch