International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 5, No. 11, 8 Sep. 2013
Cover page and Table of Contents: PDF (size: 405KB)
Video Analytic Algorithm for License Plate Recognition System
Full Text (PDF, 405KB), PP.61-67
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Author(s)
Engr Ali Javed
1,*
Huma Haider
2
Usman Malik
3
Index Terms
License Plate, Segmentation, Recognition, Connected Component Labeling, Halftone Image
Abstract
Security has always been the most dominant factor in all domains of everyday life. Companies are spending more and more in this domain as security have become an international issue especially after war on terror era. Not only national departments have become victim of it but general public has also suffered a huge deal due to the lack of security measures in the recent past. This is one of the main reasonfor investment in this domain. From traffic monitoring and security purposes, a vehicle number plate recognition system can play a very useful role in monitoring the vehicle’s movement and consequently providing information about the vehicle. Different countries have their own system of issuing number plates. Similarly different algorithms are designed for number plate recognition in different countries. The proposed system constitutes an algorithm which is designed for the vehicles residing in Pakistan. Digital image processing techniques are the basis of the proposed system including the image enhancement and filtering techniques for noise and other weather effects reduction. Hough transform is used to segment the characters and consequently recognize the character. A very large data set has been used to test the system which shows quite immaculate results.
Cite This Paper
Ali Javed, Huma Haider, Usman Malik,"Video Analytic Algorithm for License Plate Recognition System", IJIGSP, vol.5, no.11, pp.61-67, 2013. DOI: 10.5815/ijigsp.2013.11.07
Reference
[1]Wangunyu P.W, Opiyo E.T.O and Rodrigues A.J, “License Plate Recognition System:Localization for Kenya”, published in 6th International Conference on Computing and ICT research- ICCIR 10.
[2]Felix Arya, IpingSuprianaSuwardi, “License Plate Recognition System for Indonesian Vehicles”, Proceedings of the International Conference on Electrical Engineering and Informatics Institute Technology Bandung, Indonesia June 17-19, 2007.
[3]M. Sankari, R. Bremananth and C.Meena,”A Robust Diverged Localization and Recognition of License Registration Characters” published in International Journal of Computer and Communication Engineering 6 2012.
[4]Choudhury A. Rahman, WaelBadawy, Ahmad Radmanesh, “A Real Time Vehicle’s License Plate Recognition System” Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS’03).
[5]VISEC Surveillance Software, “http://www.visec.co.za/lpr.htm.”
[6]PIPS LPRS, http://pipstechnology.com/home_us/.
[7]HalinaKwaśnicka and BartoszWawrzyniak, “License plate localization and recognition in camera pictures”, AI-METH 2002.November 13-15, 2002, Gliwice, Poland.
[8]Velappa GANAPATHY and Wen Lik Dennis LUI, “A Malaysian Vehicle License Plate Localization and Recognition System”.
[9]WenjingJia, Huaifeng Zhang, Xiangjian He, and Massimo Piccardi, MemberIEEE,”Mean Shift for Accurate License Plate Localization”.
[10]M J. Ahmed, M Sarfaz, A. Zidouri, and K G. AI-Khatib, “License Plate Recognition System”.
[11]TANG Shuang-tong, LI Wen-ju,” Number and Letter Character Recognition of Vehicle License Plate Based on Edge Hausdorff Distance”, Sixth International Conference on Parallel and Distributed Computing, Applications and Technologies, IEEE,2005.
[12]License Plate Recognition cameras, http://www.platerecognition.info/1203.htm.