کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4948507 1439615 2016 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An algorithm combined with color differential models for license-plate location
ترجمه فارسی عنوان
یک الگوریتم همراه با مدل های دیفرانسیل رنگ برای محل مجوز صفحه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Vehicle license plate positioning is the first and most important step in license plate recognition systems. Existing license plate location algorithms are sensitive to light conditions and prone to be influenced by the background interference. To solve these problems, this paper presents an adaboost algorithm combined with color differential model. The proposed algorithm is composed of a coarse location step and a precise location step. In the coarse location step, a binary image is obtained to select the candidate plate regions using the color differential model. Then in the precise location step, the features obtained above together with other features are used by the adaboost algorithm to train the classifiers and precisely locate the license plates. The experimental results show that the proposed algorithm is more robust to the light conditions and background interference. In particular, during nighttime the precision rate can attain above 95.0%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 212, 5 November 2016, Pages 22-35
نویسندگان
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