文章基本信息

标题：AnalysisandSimulated Designe of Number Plate Detection
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作者：Dr. Amit Verma ; Ravi Kant ; Parminder Kaur 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：23-25
语种：English
出版社：Ayushmaan Technologies
摘要：In real time number plate detection , some vehicle number plates can not be recognized due to very poor illumination, motion blurred effect, fade characters and so on. The key problem is that number plate can not be segmented accurately and correctly. Many techniques have been proposed. In this paper, we present a edge detection method based on neural network. In Neural network systems, each character is introduced as an input data to the system. The system learns these characters. After that, it compares the input data characters to the existing characters. As a result, the character which has very similar rate is activated. Neural Network. classifier is used to recognize the characters.in which adaboost and template matching techniques are also used for more accuracy and to extract the plate accurately [1]. This new approach provides a good direction for number plate detection.
关键词：Neural Network;Adaboost;Template Matching;Median Filters etc.