VNPR system using artificial neural network

Title

VNPR system using artificial neural network

Creator

George A.; Pillai V.J.

Description

Vehicle number plate recognition (VNPR) is a technique used to extract the license plate from a sequence of images. The extracted information in the database can be used in the applications like electronic payment systems such as toll payment, parking lots etc. An effective VNPR can be implemented based on the quality of the acquired images. It is used for real time application and it has to recognize the number plates of all types under different environmental conditions. Different algorithms has been used which depends on the features present in the images. It should be generalised to extract different types of license plate from the images. In this paper we propose a new method which is robust enough to recognize the characters from the number plates with help of artificial neural network. This algorithm is practical for the front view and rear view of orientation of the vehicle. 2016 IEEE.

Source

Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

otsu method; Probablistic neural network; Projection method; Radial basis layer; VNPR

Coverage

George A., Christ University, Faculty of Engineering, Department of Electronics and Communication Engineering, Kanminike, Mysore Road, Banglore, 560060, India; Pillai V.J., Christ University, Faculty of Engineering, Department of Electronics and Communication Engineering, Kanminike, Mysore Road, Banglore, 560060, India

Rights

Restricted Access

Relation

ISBN: 978-150901277-0

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCPCT.2016.7530282

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992090894&doi=10.1109%2fICCPCT.2016.7530282&partnerID=40&md5=3507c5473339489d266c510f91d09c3a