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License Plate Recognition System using Neural Networks and Multithresholding Technique

by Bharat Bhushan, Simranjot Singh, Ruchi Singla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 84 - Number 5
Year of Publication: 2013
Authors: Bharat Bhushan, Simranjot Singh, Ruchi Singla
10.5120/14576-2704

Bharat Bhushan, Simranjot Singh, Ruchi Singla . License Plate Recognition System using Neural Networks and Multithresholding Technique. International Journal of Computer Applications. 84, 5 ( December 2013), 45-50. DOI=10.5120/14576-2704

@article{ 10.5120/14576-2704,
author = { Bharat Bhushan, Simranjot Singh, Ruchi Singla },
title = { License Plate Recognition System using Neural Networks and Multithresholding Technique },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 84 },
number = { 5 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 45-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume84/number5/14576-2704/ },
doi = { 10.5120/14576-2704 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:00:10.401594+05:30
%A Bharat Bhushan
%A Simranjot Singh
%A Ruchi Singla
%T License Plate Recognition System using Neural Networks and Multithresholding Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 84
%N 5
%P 45-50
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

License plate recognition is a fully automated real time technique that has been widely used for identification, theft control and security validation of vehicles. For recognition and extraction of desired regions of the number plate of the vehicle, different algorithms are used. An image processing technology based on license plate recognition (LPR) that is being used to identify vehicles, using neural networks and image co-relation was developed by K. Yilmaz [2]. In this paper, a different novel approach has been presented to increase the quality of the image and to enhance the results for extracting license plate from dull and low intensity images. In the previous technique the recognition rate (percentage of image recognized) reached was 96. 64% [2], but now using multithresholding and neural pattern recognition (NPR) techniques together with artificial neural networks, a higher recognition rate of 98. 40% has been achieved. Certain problems related to neural networks in the previous research methodology such as blobs extraction, segmentation and character recognition, that inhibit complete extraction of features from number plate of the vehicle were analyzed in this approach. The proposed technique helps to improve the quality of the images and detect the characters or digits of the number plate with a better recognition rate.

References
  1. Ying Wen, Yue Lu, Jingqi Yan, Zhenyu Zhou, Karen M. von Deneen and Pengfei Shi,"An Algorithm for License Plate Recognition Applied to Intelligent Transportation System", IEEE, transactions on intelligent transportation system,vol 12, no 3,sept 2011.
  2. K. Yilmaz ,"A Smart Hybrid License Plate Recognition System Based on Image Processing using Neural Network and Image Correlation",Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on18 June 2011
  3. Li Li , Feng Guangli "The License Plate Recognition System Based on Fuzzy Theory and BP Neural Network", IEEE,Intelligent Computation Technology and Automation (ICICTA), International Conference on (Volume:1 ) 2011
  4. Lingxian Yang, Heping Chen, Wei Zhang,"A License Plate Recognition Algorithm for Community Monitor",IEEE, Intelligent Networks and Intelligent Systems (ICINIS), 2012 Fifth International Conference on,3 Nov. 2012
  5. Chuin-Mu Wang, Ching-Yuan Su,"Fast License Plate Location and Recognition Using Wavelet Transform in Android" ,IEEE, Industrial Electronics and Applications (ICIEA), 7th IEEE Conference on 18-20 July 2012
  6. Yuh-Rau Wangi,Wei- Hung Lin,Ling Yang," novel DSP based Real time license plate detection Algorithm" IEEE, Machine Learning and Cybernetics (ICMLC), International Conference on (Volume:5) 15-17 July 2012
  7. Lorita Angeline, Wei Yeang Kow, Wei Leong Khong, Mei Yeen Choong, Kenneth Tze Kin Teo,"License Plate Character Recognition via Signature Analysis and Features Extraction" 2 IEEE, Computational Intelligence, Modelling and Simulation (CIMSiM),Fourth International Conference on 25-27 Sept. 2012
  8. Aissa Boudjella, Brahim Belhaouari Samir, H. Bt. Daud,Raja Syahira,"License Plate Recognition Part II: Wavelet Transform and Euclidean Distance Method" ,IEEE, Intelligent and Advanced Systems (ICIAS), 4th International Conference on (Volume:2 )12-14 June 2012
  9. Feng Li,License plate recognition algorithm based on fuzzy inference for binary",IEEE, Computational and Information Sciences (ICCIS), Fourth International Conference on17-19 Aug. 2012
  10. Song Qing-kun , Yuan Hui-jun , Zhou Teng,"License Plate Recognition Based On Mathematical Morphology Method and RBF Neural Network", IEEE, Measurement, Information and Control (MIC), 2012 International Conference on (Volume:2 )18-20 May 2012
  11. Jing-Ming Guo, Yun-Fu Liu and Chih-Hsien Hsia,"Multiple License Plates Recognition System",IEEE,System Science and Engineering (ICSSE), International Conference on June 30 2012-July 2 2012
  12. Jianyu Zhao, Shujian Ma, Weimin Han, Yang Yang, Xudong Wang,"Research and Implementation of License Plate Recognition Technology",IEEE, Control and Decision Conference (CCDC), 24th Chinese 23-25 May 2012
  13. Wang Yutao, Qin Tingting, Tian Ruixia, Yang Gang,"Recognition of License Plate Character Based on Wavelet Transform and Generalized Regression Neural Network" IEEE, Control and Decision Conference (CCDC), 24th Chinese 23-25 May 2012
  14. Huang Lin , Yang Tie-jun,"Vehicle license plate Recognition Based on Wavelet Transform Modulus Maxima and BP Neural Network", IEEE, Natural Computation (ICNC), Eighth International Conference on 29-31 May 2012
  15. Rong-Tsai Lee , King-Chu Hung,"Real-Time Vehicle License Plate Recognition Based on 1-D Discrete Periodic Wavelet Transform", IEEE, Computer, Consumer and Control (IS3C), International Symposium on 4-6 June 2012
  16. Bo Li, Bin Tian, Qingming Yao, Kunfeng Wang,"A Vehicle License Plate Recognition System Based on Analysis of Maximally Stable Extremal Regions",IEEE, Networking, Sensing and Control (ICNSC), 9th IEEE International Conference on 11-14 April 2012
  17. Xiuxia Yu, Hongyu Cao, Haidong Lu,"Algorithm of License Plate Localization Based on Texture Analysis", IEEE, Transportation, Mechanical, and Electrical Engineering (TMEE), International Conference on 16-18 Dec. 2011
  18. FENG Zhifan , FANG Kangling,"Research and Implementation of an Improved License Plate Recognition Algorithm",IEEE, Biomedical Engineering and Informatics (BMEI), 4th International Conference on (Volume:4 )15-17 Oct. 2011.
  19. Amir Hossein Ashtari, Md. Jan Nordin, Seyed Mostafa Mousavi Kahaki,"A New Reliable Approach for Persian License Plate Detection on Colour Images",IEEE, Electrical Engineering and Informatics (ICEEI), International Conference on 17-19 July 2011
Index Terms

Computer Science
Information Sciences

Keywords

License plate recognition Multithresholding Technique Neural Pattern Recognition Artificial Neural Networks.

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