2021
DOI: 10.25046/aj060249
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Vehicle Number Plate Detection and Recognition Techniques: A Review

Abstract: Vehicle number plate detection and recognition is an integral part of the IntelligentTransport System (ITS) as every vehicle has a number plate as part of its identity. The quantity of vehicles on road is growing in the modern age, so numerous crimes are also increasing day by day. Almost every day the news of missing vehicles and accidents are perceived. Vehicles tracking is often required to investigate all these illegal activities. So, vehicle number plate identification, as well as recognition, is an activ… Show more

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Cited by 18 publications
(2 citation statements)
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“…Edge detection in CS involves steps like Gaussian filtering, intensity gradient location, non-maximum suppression, and hysteresis-based edge suppression. Finally, contours are traced, and character recognition is applied [9]. OCR converts images of text into machine-readable text and plays a crucial role in ANPR.…”
Section: Automatic Number Plate Recognitionmentioning
confidence: 99%
“…Edge detection in CS involves steps like Gaussian filtering, intensity gradient location, non-maximum suppression, and hysteresis-based edge suppression. Finally, contours are traced, and character recognition is applied [9]. OCR converts images of text into machine-readable text and plays a crucial role in ANPR.…”
Section: Automatic Number Plate Recognitionmentioning
confidence: 99%
“…In addition to these applications, LPRS using artificial intelligence technologies is very important for traffic control. LPRSs' usage in traffic control includes [13], but is not limited to, sites [14], parking lots [15], highways [16], vehicle inspection stations [17], hospitals [18], public buildings [19], border gates [20], military zones [21], and universities [22]. The main purposes of the use of LPRS are to determine the position of vehicles passing a certain point, to identify the vehicle, to examine the vehicle's 122 behavior, and to provide traffic control [23].…”
Section: Introductionmentioning
confidence: 99%