DocumentCode :
3337313
Title :
Application of neural network techniques to automatic licence plate recognition
Author :
Tindall, D.W.
Author_Institution :
Racal Res. Ltd., Reading, UK
fYear :
1995
fDate :
16-18 May 1995
Firstpage :
81
Lastpage :
85
Abstract :
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
Keywords :
closed circuit television; image recognition; neural nets; optical character recognition; road traffic; road vehicles; security; traffic control; traffic engineering computing; video recording; CCTV cameras; automatic vehicle licence plate recognition; car park security; character recognition; image analysis; image capture; intelligent transport management systems; multinational licence plate environment; neural network techniques; red traffic light infringement; road tolling; road use surveys; speed violation; traffic control; traffic regulations enforcement; video analysis; video recording;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Security and Detection, 1995., European Convention on
Conference_Location :
Brighton
Print_ISBN :
0-85296-640-7
Type :
conf
DOI :
10.1049/cp:19950474
Filename :
491544
Link To Document :
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