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Reseach Article

Electronic Penalty an Initiative for E-Governance using RFID and Camera-based Hybrid Approach

Published on October 2013 by Shiv Kumar Goel, Manoj Shukla
International Conference on Communication Technology
Foundation of Computer Science USA
ICCT - Number 2
October 2013
Authors: Shiv Kumar Goel, Manoj Shukla
61bb7613-4e2c-4a8e-aec9-35ae08c9962e

Shiv Kumar Goel, Manoj Shukla . Electronic Penalty an Initiative for E-Governance using RFID and Camera-based Hybrid Approach. International Conference on Communication Technology. ICCT, 2 (October 2013), 7-12.

@article{
author = { Shiv Kumar Goel, Manoj Shukla },
title = { Electronic Penalty an Initiative for E-Governance using RFID and Camera-based Hybrid Approach },
journal = { International Conference on Communication Technology },
issue_date = { October 2013 },
volume = { ICCT },
number = { 2 },
month = { October },
year = { 2013 },
issn = 0975-8887,
pages = { 7-12 },
numpages = 6,
url = { /proceedings/icct/number2/13652-1314/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication Technology
%A Shiv Kumar Goel
%A Manoj Shukla
%T Electronic Penalty an Initiative for E-Governance using RFID and Camera-based Hybrid Approach
%J International Conference on Communication Technology
%@ 0975-8887
%V ICCT
%N 2
%P 7-12
%D 2013
%I International Journal of Computer Applications
Abstract

With the development of information communication technology (ICT) and computer science, an effective e-Governance should provide an efficient solution for most of the problems in many government and public sectors in India. Transportation sector is not the exception for the e-Governance. Many Government Plan have been executed and running successfully like VAHAN and SARATHI related to transportation. This paper proposed an approach to penalize the offenders, who violate the traffic rules on road, by using RFID and Camera based Technique which are installed at road side. In this approach the main key area is to recognize the Registration Plate Number and extract the vehicle's owner data and penalize owner through ECS using e-Commerce automatically. So the main targetable area in this vehicle Identification system is Registration plate recognition. For this purpose RFID, cameras system and a software flow with wired and wireless e-centre architecture could resolve the problem with the help of Registration Plate recognition system. In addition, human resource is not possible to checkout every vehicle, so offenders can easily violate the traffic rules which may cause the casualty of the people. Therefore, a Vehicle Identification system using RFID and Camera scheme is necessary to identify such traffic rule violators and penalized them automatically.

References
  1. Groft, Eric et al, "Smart meter parking system"; United States Patent 20070016539.
  2. Timar, G et al, "Analogic preprocessing and segmentation algorithms for off-line handwriting recognition" -Proceedings of the 2002 7th IEEE conference on Cellular Neural Networks and Their Applications, 2002. (CNNA2002).
  3. Kamlakannam et. al, "Fast character recognition using expert system"-in proceedings of the Thirty-SeventhSoutheastern IEEE Symposium on system theory (ssst-05).
  4. Batuwita et al, "Fuzzy Recognition of Offline Handwritten Numeric Characters"- IEEE Conference on Cybernetics and Intelligent Systems. 7-9 June 2006.
  5. Sanparith et al, "A generic approach for on-line handwriting recognition" Ninth International Workshop on Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004
  6. Hailong Liu and Xiaoqing Ding "Handwritten Character Recognition Using Gradient Feature and Quadratic Classifier with Multiple Discrimination Schemes" in proceedings of Eighth International Conference on Document Analysis and Recognition, 2005.
  7. Jameel, A. "Experiments with various recurrent neural network architectures for handwritten character recognition"- Sixth International Conference on Tools with Artificial Intelligence, 1994.
  8. Suen, et, al "Handwriting recognition - the last frontiers", Proceedings of 15th International Conference on Pattern Recognition (ICPR-2000).
  9. Zhao, P. ; Yasuda, T. ; Sato, Y. "Cursivewriter: On-line cursive writing recognition system, 1993. , Proceedings of the Second International Conference on Document Analysis and Recognition(ICDAR 1993) Volume, Issue, 20-22 Oct 1993 Page(s):703 – 706
  10. Hiromichi Fujisawa and Cheng-Lin Liu "Directional pattern matching for character recognition revisited". Proceedings of Seventh International Conference on document analysis and recognition(ICDAR 2003)
  11. Ahmed, DileepKumar, Pankaj Pratap Singh, Sarfraz, Zidouri A. and Alkhatib, W. G. (2003), License plate Recognition System" The Proceedings of The 10th IEEE International Conference n Electronics, Circuits And Systems (ICECS2003), Sharjah, United Arab Emirates (UAE).
  12. Tsang-Hong Wang, Feng-Chou Ni, Keh-Tsong Li, Yon-Ping Chen, "Robust License Plate Recognition based on Dynamic Projection Warping", In Proceedings of IEEE International Conference on Networking Sensing & Control,Taiwan, March 21-23, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Rfid Tag And Reader Camera E-centre Vehicle Detection System Registration Plate Recognition E-penalty.