Automatic Number Plate Recognition (ANPR)

International Journal of Computer Science and Engineering
© 2016 by SSRG - IJCSE Journal
Volume 3 Issue 8
Year of Publication : 2016
Authors : Juhi Ranglani, Vijay Lachwani

pdf
How to Cite?

Juhi Ranglani, Vijay Lachwani, "Automatic Number Plate Recognition (ANPR)," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 8, pp. 64-68, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I8P114

Abstract:

Vehicle Identification has become very important in today’s scenario. These days’ organizations are more concern about maintaining security. Many vehicles enters in and leave the organization so it is very important to maintain their record. It is a tedious and time consuming task for a human to keep record of all the vehicles. So it arise a need for developing an automatic system which can keep the record of all the vehicle entering and leaving the organization. And also maintain the timings of their arrival and departure. Systems like Automatic Number Plate Recognition are not only useful for this purpose but can be used at traffic signals to identity the vehicles violated traffic rules. There are various other applications that are mentioned in this paper.

Keywords:

Automati Number Plate Recognition (ANPR), Optical Character Recognition (OCR).

References:

1. DeeptiSagar*, Maitreyee Dutta, M.E, Computer Science, NITTTR, Chandigarh *Professor and Head,
Department of Computer Science, NITTTR, Chandigarh International Journal of Scientific andResearch Publications, Volume 4, Issue 9, September 2014 1 ISSN
2250-3153
2. M. M. Shidoret,S. P. Narote, Vishwakarma Institute of Technology, University of Pune, Pune, India, Sinhgad College of Engineering, University of Pune, Pune, India IJCSNS International Journal of Computer Science and Network Security, VOL.11 No.2, Feb. 2011
3. Chirag Patel Smt. ChandabenMohanbhai Patel Institute of Computer Applications (CMPICA) Charotar
University of Science and Technology(CHARUSAT) Dipti Shah, PhD. G. H. Patel P.G. Department of Computer Science S. P. University Atul Patel, PhD. Smt. ChandabenMohanbhai Patel Institute of Computer Applications (CMPICA) Charotar University of Science and Technology(CHARUSAT).
4. Lee J.W., KweonI.S:“Automatic number-plate recognition: neural network approach.” IEEE Vehicle Navigation and Information Systems Conference, vol.3.1. no.12, pp. 99-101 (1998).
5. Shridhar, M.; Miller, J. W V; Houle, G.; Bijnagte, L., "Recognition of license plate images: issues and perspectives," Document Analysis and Recognition, 1999.
ICDAR '99. Proceedings of the Fifth International Conference on , vol., no., pp.17,20, 2022 Sep 1999.
6. EunRyung Lee; PyeoungKee Kim; Hang Joon Kim, "Automatic recognition of a car license plate using colour image processing," Image Processing, 1994.
Proceedings. ICIP-94., IEEE International Conference, vol.2, no., pp.301, 305 vol.2, 13-16 Nov 1994.
7. Cheng, Y., Lu, J., Yahagi, T.: “Car license plate recognition based on the combination of principal components analysis
and radial basis function networks.” Signal Processing, Proceedings, ICSP '04, 7th International Conference, vol.2, pp. 14551458(2004).
8. Yoh-Han Pao, “Adaptive Pattern Recognition and Neural Network.” Pearson Education Asia, 2009.
9. F. Martin, M. Garcia and J. L. Alba. “New methods for Automatic Reading of VLP’s (Vehicle License Plates),” in Proc. IASTED Int. Conf. SPPRA, 2002, pp: 126-131.
10. Optasia Systems Pte Ltd, “The World Leader in License Plate
Recognition Technology” Sourced from: www.singaporegateway.com/optasia, Accessed 22 November 2008.
11. Francesca O.:Experiments “ License Plate Recognition System.” DISI, UniversitàdegliStudidi Genova, Technical Report number: DISI-TR-06-17(2007)