According to the annual report of BRTA, the number of vehicles are increasing rapidly every year in Bangladesh ( Figure 1). In Bangladesh, Bangladesh Road Transport Authority (BRTA) has the authority to register vehicles. Dhaka is a densely populated city with huge amounts of traffic-and people frequently break the traffic rules.
The tests were carried out on vehicles in Dhaka city, in Bangladesh, although the work can be extended to any country. This research work aims to detect and recognize number plates in an intelligent way. VNPR can develop a security policy while the issues are more crucial. Recognizing vehicle number plates can help with authorization (for example, when a vehicle enters into an impervious premise). The novelty of this research is the development of an intelligent system employing CNN to recognize number plates, which have less resolution, and are written in the Bengali language. In the recognition part, features are extracted and classified using the CNN technique. Each character of the number plate is segmented using a bounding box method. The super resolution technique is used with the convolutional layer of CNN to reconstruct the pixel quality of the input image. After extracting the number plate region, a super resolution method is applied to convert the low-resolution image into a high-resolution image. Then the system segments the number plate region from the image frame.
In the detection part, a vehicle’s image is captured through a digital camera. This system comprises of two parts: number plate detection and number plate recognition. In this research work, a system is developed for detecting and recognizing of vehicle number plates using a convolutional neural network (CNN), a deep learning technique. The intelligent system can play a vital role in traffic control through the number plate detection of the vehicles. In order to overcome these problems, an intelligent traffic monitoring system is required. The significant use of vehicles has increased the probability of traffic rules violation, causing unexpected accidents, and triggering traffic crimes. Vehicles on the road are rising in extensive numbers, particularly in proportion to the industrial revolution and growing economy.
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