Open Access Open Access  Restricted Access Subscription or Fee Access

Image Processing Techniques for Identifying Vehicle License Plate and Traffic Monitoring

Dr. B. Chidhambararajan, M. Balakarthikeyan

Abstract


While the first industrial automatic systems of Car License Plate Recognition (CLPR) started emerging in 80s, an outburst of commercial systems occurred in 90s, also. Nevertheless that a lot of CLPR systems are available in the market worldwide, the research and development still continues and new sophisticated solutions to platelocalization, character segmentation and recognition appear. This is due to the growing demand for the automatic vehicle identification required for traffic control, border control, access-control, calculation of parking time and payment, search for stolen cars or unpaid fees, and the requirement for reliable identification at different lighting conditions, presence of random or structured noise in the plate, and nationality specific features,concerning plate’s size and type of characters. Optical image processing is an advancing field which has received much attention in recent years. Optical techniques have already shown their applicability in target identification, advanced signal processing operations and advanced linear algebra operations. The potentialcapabilities of processing of data using photons instead of electrons as the carrier of information have established, beyond any doubt, that the optical techniques will be the next generation technology surpassing electronic techniques in someimportant areas such as air traffic control, missile guidance and remote sensing. Using this optical image processing the vehicle license plate and the traffic monitoring will be identified accurately.


Keywords


Air pollution, Car license plate, Optical image processing, Traffic accident.

Full Text:

PDF

References


Cohen, H., Bergman, G., Erez, J., “Car License Plate Recognition”,Project Report, Vision and Image Sequence Laboratory, Technion,Israel, 2002.

H.J. Choi, “A Study on the Extraction and Recognition of a Car Number Plate by Image Processing,” Journal of the Korea Institute of Telematics and Electronics, Vo1.24, 1987, pp. 309-315.

Dalaff, C.; Ruhé, M.; Reulke, R.; Schischmanow, A.; Schlotzhauer, G.,“OIS - An optical information system for road traffic measurement and management”, Joint Workshop of ISPRS Working Groups IV/3, IV/6 and IV/7, University Stuttgart, Germany, 8. - 9. September 2003.

M.M.M. Fahmy, “Automatic Number-plate Recognition - Neural Network Approach,” Proceedings of VNIS’94 Vehicle Navigation and Information System Conference, 3 1 Aug-2 Sept, 1994, pp. 99-101.

Hsieh, J.W., Yu, S.H., Chen, Y.S., “Morphology-based License Plate Detection from Complex Scenes, International Conference on Pattern Recognition”, Quebec City, CA, Vol.3, 2002, pp. 176-179.

W. Hu, X. Xiao, D. Xie, T. Tan, S. Maybank., “Traffic Accident Prediction Using 3-D Model-Based Vehicle Tracking”, In Transactions on Vehicular Technology, IEEE Vol. 53, No 3, May 2004, pp. 677-694.

A.S. Johnson, B.M. Bird, “Number-plate Matching for Automatic Vehicle Identification,” IEE Colloquium on Electronic Image and Image Processing in Security and Forensic, Aprl, 1990, pp. 4/1-4/8.

Jilin, L., Hongqing, M., Peihong, L., “A High Performance License Plate Recognition System Based on the Web Technique”, IEEE International Conference on Intelligent Transportation Systems, Oakland, CA, 2001,pp. 14-18.

Y. K. Ki, D. Y. Lee, D. K. Baik. “Traffic Accident Detection Model at Intersections via Image Processing,” Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D.C., Jan, 23, 2006,session 390.

Y. K. Ki, D. Y. Lee. “A Traffic Accident Recording and Reporting Model at Intersections,” IEEE Transactions on Intelligent Transportation Systems, vol. 8, No 8, June 2007, pp. 188-194.

Kim, S., et al., “A Robust License-Plate Extraction Method under Complex Image Conditions”, International Conference on Pattern Recognition, Quebec City, CA, 2002, pp. 216-219.

H.S. Kim, et al., “Recognition of a Car Number Plate by a Neural Network,” Proceedings of the Korea Information Science Society Fall Conference, Vol. 18, 1991, pp. 259-262.

S.K. Kim, D.W. Kim, and H.J. Kim, “A Recognition of Vehicle License Plate Using a Genetic Algorithm Based Segmentation,” Proceedings of 3rd IEEE International Conference on Image Processing, Vol. 2, 1996, pp. 661-664.

M. Kimachi, K. Kanayama, K. Teramoto, “Incident Prediction by Fuzzy Image Sequence Analysis”, In Proc. IEEE Int. Conf. Vehicle Navigation and Information Systems (VNIS’ 94), 1994, pp. 51-57.

Lee, S-H., Seok, Y-S., Lee, E-J., “Multinational Integrated Car-License Plate Recognition System Using Geometrical Feature and Hybrid Pattern Vector”, International Conference on Circuits, Systems,Computers and Communications, Phuket, Thailand, 2002, pp. 1256-1259.

E.R. Lee, P.K. Kim, and H.J. Kim, “Automatic Recognition of a Car License Plate Using Color Image Processing,” Proceedings of the International Conference on Image Processing, Vol. 2, 1994, pp. 301-305.

R.A. Lotufo, A.D. Morgan, and AS. Johnson, “Automatic Number-Plate Recognition,” Proceedings of the IEE Colloquium on Image analysis for Transport Applications, V01.035, February 16, 1990, pp.6/1-6/6.

Meffert, B., Blaschek, R, Knauer, U., Reulke, 1 R., Winkler, F.,Schischmanow, 1 A., “MONITORING TRAFFIC BY OPTICAL SENSORS”, Second International conference on Intelligent Computing and Information Systems, March 2005, pp. 9-14.

Nelson, L.J., “Vehicle Recognition: Putting an Image Technology on the Road”, Advanced Imaging, 1995, pp. 53-55.

J.A.G. Nijhuis, M.H. Ter Brugge, K.A. Helmholt, J.P.W. Pluim, L.Spaanenburg, R.S. Venema, M.A. Westenberg, “Car License Plate Recognition with Neural Networks and Fuzzy Logic,” IEEE International Conference on Neural Networks, Vol. 5, 1995, pp. 2232-2236.

Ohe, H. Kawashima, M. Kojima, Y. Kaneko. “A Method for Automatic Detection of Traffic Incidents Using Neural Networks,” In Proc. Of the IEEE Conf. Vehicle Navigation and Information Systems, 1995, pp.231-235.

Reulke, R.; Börner, A., Hetzheim, H.; Schischmanow, A.; Venus, H., “A sensor web for road-traffic observation”, IVCNZ 2002, Proceedings, pp.293-297.

Sgurev, V., Gluhchev, G., Mutafov, D., et al., “Recognition of Car Registration Numbers”, Problems of Engineering Cybernetics and Robotics, 1987, pp. 79-85.

Serkan Ozbay, and Ergun Ercelebi, “Automatic Vehicle Identification by Plate Recognition”, proceedings of world academy of science,engineering and technology volume 9 november 2005, pp. 222-225.

Tavsanoglu V, Saatci E. “Feature extraction for character recognition using Gabor-type filters implemented by cellular neural networks,”Proceedings of the 6th IEEE International Workshop on Cellular Neural Networks and their Applications, Piscataway,NJ,USA, IEEE. 2000,pp.63-8.

Vladimir Shapiro, Dimo Dimov, Stefan Bonchev Veselin Velichkov,and Georgi Gluhchev. “Adaptive License Plate Image Extraction”,proccedings of the 5th International Conference on Computer Systems and Technologies, 2004, pp. 1-7.

Yong-Kul Ki., “Accident Detection System using Image Processing and MDR”, IJCSNS International Journal of Computer Science and Network Security, VOL.7 March 2007, No.3, pp. 35-39.

Wisam Al Faqheri and Syamsiah Mashohor, “A Real-Time Malaysian Automatic License Plate Recognition (M-ALPR) using Hybrid Fuzzy”,IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.2, February 2009.

González Balderrama, Humberto de Jesús Ochoa Domínguez and Vianey Guadalupe Cruz Sánchez, “License Plate Recognition Using a Novel Fuzzy Multilayer Neural Network”, INTERNATIONAL JOURNAL OF COMPUTERS Issue 1, Volume 3, 2009.


Refbacks

  • There are currently no refbacks.