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Paper Details

📄 IJAERD-OJS-2463

Control Traffic using Support Vector Machine and Incremental ANPR algorithm

Author(s):Vaishali Guliani, Dr. Aman Jain
Institution:Dept. of Computer Science, Singhania University, Jhunjhunu, Rajasthan, India
Published In:Vol. 5, Issue 2 — February 2018
Page No.:677-685
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

On rising population and on growing need of the people, there is a big rise of using vehicles for the lastdecades. This increase in the number of vehicles must control from the perspective of security and management.However, controlling a huge amount of traffic is a major problem to be solved. The Technology for these systems hasadvanced over the generation. Now whole network of traffic cameras are being organized across cities continuallymonitor vehicles on street roads. A LPR system may be located on the side of or above a roadway, at a toll booth, or atanother type of entrance way at an acceptable height. License plate recognition (LPR) is a picture innovation used todistinguish plates for their vehicles. This innovation is picking up prevalence in security and traffic facilities. The reasonfor LPR was to construct a framework able to do consequently recording of the tag quantities of passing vehicles goingdown a roadway. These days, the license plate recognition is comprehensively utilized in traffic management to perceivea vehicle whose proprietor has despoiled traffic laws or to discover stolen vehicles. Vehicle License plate detection andrecognition is a key procedure in the greater part of the traffic related applications, for example, seeking of stolenvehicles, road traffic monitoring, air gate monitoring, speed monitoring and Automatic parking areas access control.

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🕮 How to Cite

Vaishali Guliani, Dr. Aman Jain, “Control Traffic using Support Vector Machine and Incremental ANPR algorithm”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 677-685, February 2018.

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