With the ever-increasing cost and inconvenience of traffic congestion all around the world, many initiatives for effective control of traffic have been proposed or are undergoing trials. Intelligent transport management systems, which include video recording and analysis, are being applied to the enforcement of traffic regulations, such as speed violation and red traffic light infringement, road use surveys, road tolling and car park security. This paper addresses the problems associated with the capture and analysis of vehicle licence plate information from standard CCTV cameras, and a solution to effective character recognition which offers the potential for licence plate recognition in a multinational licence plate environment.
Application of neural network techniques to automatic licence plate recognition
01.01.1995
5 pages
Aufsatz (Zeitschrift)
Englisch
intelligent transport management systems , red traffic light infringement , image analysis , road tolling , traffic regulations enforcement , neural network techniques , neural nets , road traffic , car park security , multinational licence plate environment , image recognition , road use surveys , traffic control , video recording , video analysis , road vehicles , closed circuit television , optical character recognition , image capture , character recognition , automatic vehicle licence plate recognition , security , traffic engineering computing , speed violation , CCTV cameras
Unconstrained licence plate and text localization and recognition
Tema Archiv | 2005
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