The problem of automatic number plate recognition (ANPR) has been studied from different aspects since the early 90s. Efficient approaches have been recently developed, particularly based on the features of the license plate representation used in different countries. This paper focuses on a novel approach to solving the ANPR problem for Argentinean license plates, called Intelligent Template M...

Smart city-aspiring urban areas should have a number of necessary elements in place to achieve the intended objective. Precise controlling and management traffic conditions, increased safety surveillance, enhanced incident avoidance be top priorities smart city management. At same time, Vehicle License Plate Number Recognition (VLPNR) has become hot research topic, owing several real-time appli...

Objectives: (1) To solve the problem of inefficiency and inaccuracy vehicle monitoring; (2) propose develop a software that will serve as initial replacement to man-to-man motorbike (3) Evaluate components system in terms functionality, efficiency, accuracy. Methods: Waterfall model was used development model. The proposal is evaluation. Python 3.6 program coding, Graphical User Interface (GUI)...

This work details Sighthounds fully automated license plate detection and recognition system. The core technology of the system is built using a sequence of deep Convolutional Neural Networks (CNNs) interlaced with accurate and efficient algorithms. The CNNs are trained and fine-tuned so that they are robust under different conditions (e.g. variations in pose, lighting, occlusion, etc.) and can...

The purpose of this paper is to design a system that can recognize vehicle license plate under poor environmental conditions by using neural network. Adverse environmental condition may refer to the image has been blurred by poor lighting, rain, poor image resolution and haze which make the image not clear. Recognition of a vehicle license plate is usually important for many security and contro...