Abstract
Automatic License Plate Recognition has been a recurrent research topic due to the increasing number of cameras available in cities, where most of them, if not all, are connected to the Internet. The video traffic generated by the cameras can be analyzed to provide useful insights for the transportation segment. This paper presents the development of an intelligent vehicle identification system based on optical character recognition (OCR) method to be used on intelligent transportation systems. The proposed system makes use of an intelligent parking system named Smart Parking Service (SPANS), which is used to manage public or private spaces. Using computer vision techniques, the SPANS system is used to detect if the parking slots are available or not. The proposed system makes use of SPANS framework to capture images of the parking spaces and identifies the license plate number of the vehicles that are moving around the parking as well as parked in the parking slots. The recognition of the license plate is made in real-time, and the performance of the proposed system is evaluated in real-time.
Highlights
The number of motor vehicles is growing in most places of the world at an alarming rate, causing big issues like traffic congestion, low quality of air and so on
Optical Character Recognition (OCR) is one of the most widely studied problems in the field the information detected by our system is stored in the SPAN system and all information about the of pattern recognition and computer vision [18]
A system that identifies in real-time vehicle license plate characters using optical character recognition (OCR) was proposed
Summary
The number of motor vehicles is growing in most places of the world at an alarming rate, causing big issues like traffic congestion, low quality of air and so on. Once a new vehicle is detected, the proposed system detects the region of the plate and applies an algorithm to extract the image of the plate This image is processed and an OCR method is used to extract the characters and numbers that compose the license plate. This information is stored on a cloud and it can be used, for example, in the department of transportation to detect stolen vehicles or issues in the vehicle’s documentation. The performance of the proposed algorithm to recognize the license plate characters is analyzed in an open environment where the SPAN system is installed.
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