Home   >   CSC-OpenAccess Library   >    Manuscript Information
An Intelligent Control System Using an Efficient License Plate Location and Recognition Approach
Saeed Rastegar, Reza Ghaderi, Gholamreza Ardeshipr, Nima Asadi
Pages - 252 - 264     |    Revised - 30-10-2009     |    Published - 30-11-2009
Volume - 3   Issue - 5    |    Publication Date - November 2009  Table of Contents
License plate recognition (LPR), Optical character recognition (OCR),, Artificial neural networks (ANN)
This paper presents a real-time and robust method for license plate location and recognition. After adjusting the image intensity values, an optimal adaptive threshold is found to detect car edges and then algorithm used morphological operators to make candidate regions. Features of each region are to be extracted in order to correctly differentiate the license plate regions from others. It was done by analysis of percentage of Rectangularity of plate in decision system .usage of color filter makes algorithm more robust on LPL, too. The algorithm can efficiently determine and adjust the plate rotation in skewed images. It finds the optimal adaptive threshold corresponding to the intensity image obtained after adjusting the image intensity values. To segment the character of the license plate, a segmentation algorithm base on profile is proposed. An optical character recognition (OCR) engine has then been proposed. The OCR engine includes characters dilation, resizing input vector of ANN. To recognize the characters on the plates, MLP neural networks have been used and compared with Hopfield, LVQ and RBF. The results show that MLP outperforms. According to the results, the performance of the proposed system is better even in case of low-quality images or in images with illumination effects and noise
CITED BY (10)  
1 Cai, Q., Liu, Q. L., & Ding, H. W. Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015).
2 Lan, C. F., Sui, X. M., Guo, X. X., Kang, S. Q., & Zhang, L. P. (2015, November). Based the license plate preprocessing process of image processing research. In Wireless Communication and Network: Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015). World Scientific.
3 Sutar, G. T., & Shah, A. V. (2014). Number Plate Recognition Using an Improved Segmentation. International Jounral of Innovative Researach in Science Engineering and Technology, 3, 12360-12368.
4 Mohindra, S., & Shukla, S. (2013). License Plate Recognition (LPR) system for Indian Vehicle License Plate Extraction and Character Segmentation. International Journal Of Engineering Sciences & Research Technology, 2(7), 1761-1765.
5 Sarfraz, M. S., Shahzad, A., Elahi, M. A., Fraz, M., Zafar, I., & Edirisinghe, E. A. (2013). Real-time automatic license plate recognition for CCTV forensic applications. Journal of real-time image processing, 8(3), 285-295.
6 Guo, J. M., Liu, Y. F., & Hsia, C. H. (2012, June). Multiple license plates recognition system. In System Science and Engineering (ICSSE), 2012 International Conference on (pp. 120-125). IEEE.
7 Daramola, S. A., Adetiba, E., Adoghe, A. U., Badejo, J. A., Samuel, I. A., & Fagorusi, T. (2011). automaticvehicle identification system using license plate. International Journal of Engineering Science and Technology, 3(2), 1712-1719.
8 Shahzad, A., Fraz, M., Elahi, M. A., & Sarfraz, M. S. (2011). Real Time Localization, Tracking and Recognition of Vehicle License Plate. In VISAPP (pp. 685-688).
9 Paunwala, C. N., & Patnaik, S. (2010). A novel multiple license plate extraction technique for complex background in Indian traffic conditions. International Journal of Image Processing (IJIP), 4(2), 106.
10 Akhtari, M., & Faez, K. (2010, August). The application of a CICA neural network on Farsi license plates recognition. In Hybrid Intelligent Systems (HIS), 2010 10th International Conference on (pp. 205-208). IEEE.
1 Google Scholar 
2 ScientificCommons 
3 Academic Index 
4 CiteSeerX 
5 refSeek 
6 iSEEK 
7 Socol@r  
8 ResearchGATE 
9 Bielefeld Academic Search Engine (BASE) 
10 OpenJ-Gate 
11 Scribd 
12 WorldCat 
13 SlideShare 
15 PdfSR 
C.N.E. Anagnostopoulos, I.E. Anagnostopoulos, V. Loumos, E. Kayafas, A license plate-recognition algorithm for intelligent transportation system applications,IEEE Trans. Intell. Transp. Syst. 7 (2006) 377–391.
Chandra Sekhar Panda, Srikanta Patnaik(2009).Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters.International Journal of Image Processing (IJIP). Volume 3, Issue 3-(pp: 105-119).
F. Martn, M. Garca, L. Alba, New methods for automatic reading of VLP's (Vehicle License Plates), in: Proceedings of IASTED International Conference on SPPRA, 2002, Available from: http://www.gpi.tsc.uvigo.es/pub/papers/sppra02.pdf.
H. Zhang, W. Jia, X. He, Q. Wu, Learning-based license plate detection using global and local features, in: International Conference on Pattern Recognition,2006, pp. 1102–1105.
Jianbin Jiao, Qixiang Ye & Qingming Huang(2009). A configurable method for multi-style license plate recognition.Pattern Recognition Letter.
Kamat, Varsha, & Ganesan (1995). An efficient implementation of hough transform for detecting vehicle license plates using DSP’s. In Proceedings of real-time technology and applications (pp. 58–59).
Lim, B. L., Yeo, W.Z., Tan, K. Y., & Teo, C. Y. (1998). A novel D.S.P b ased real-time character classification and recognition algorithm for car plate detection and recognition. In Proceedings of the fourth international conference on signal process, Vol. 2, (pp. 1269–1272).
Lim, B.L., Yeo, W.Z., Tan, K.Y., Teo, C.Y., 1998. A novel DSP based real-time character classification and recognition algorithm for car plate detection and recognition. In:Fourth Internat. Conf. on Signal Process., vol. 2, pp.1269–1272.
Luis, S., Jose, M., Enrique, R., Narucuso, & Narucuso, G. (1999). Automatic car plate detection and recognition through intelligent vision engineering. In Proceedings of IEEE 33rd international carnahan conference on security technology. (pp. 71–76).
Luis, S., Jose, M., Enrique, R., Narucuso, G., 1999. Automatic car plate detection and recognition through intelligent vision engineering. In: Proc. IEEE 33rd Internat. Carnahan Conf. on Security Tech., pp. 71–76.
Ming, G. H., Harvey, A. L., & Danelutti, P. (1996). Car number plate detection with edge image improvement. In Proceedings of the 4th international symposium on signal process and its applications. Vol. 2,(pp. 597–600).
Ming, G.H., Harvey, A.L., Danelutti, P.1996. Car number plate detection with edge image improvement, In: Fourth Internat. Symp. On Signal Processing and its Applications, vol.2, pp. 597–600.
Parii, R., Claudio, E. D., Lucarelli, & G., Orlandi, G. (1998). Car plate recognition by neural networks and image processing. In Proceedings of IEEE international symposium on circuits and systems. Vol. 3,(pp.195–198).
Parisi, R., Claudio, E.D., Lucarelli, G., Orlandi, G., 1998. Car plate recognition by neural networks and image processing.In: Proc. IEEE Internat. Symp. on Circuits and Systems,vol. 3, pp. 195–198.
Park, S. H., Kim, K. I., Jung, K., & Kim, H. J. (1999). Locating car license plate using neural networks. Electronics Letters, 35(17), 1475–1477.
Raman Maini, Himanshu Aggarwal.Raman Maini, Himanshu Aggarwal,(2009).Study and Comparison of Various Image Edge Detection Techniques International Journal of Image Processing (IJIP). Volume 3, Issue 1(pp: 1-11).
Rodolfo, Z., & Stefano, R. (2000). Vector quantization for license plate location and image coding. IEEE Transactions Industrial Electronics.47(1),159–167.
Sherin M. Youssef, Shaza B & AbdelRahman(2008). A smart access control using an efficient license plate location and recognition approach. In procceding of Expert Systems with Applications, 34, 256–265.
Tabassam Nawaz, Syed Ammar Hassan Shah Naqvi, Habib ur Rehman , Anoshia Faiz(2009).Optical Character Recognition System for Urdu (Naskh Font)Using Pattern Matching Technique. International Journal of Image Processing (IJIP). Volume 3, Issue 3-(pp: 92-104).
Wei, W., Wang, M. J., Huang, & Z. X. (2001). An automatic method of location for number plate using color features. In Proceedings of the international conference on image process. Vol. 1, (pp. 782–785).
Wenjing Jia_, Huaifeng Zhang & Xiangjian He(2007). Region-based license plate detection. In procceding of network and computer application,30,1324-1333.
Zheng, D., Zhao, Y., & Wang, J. (2005). An efficient method of license plate location. Pattern Recognition Letters, 26, 2431–2438.
Mr. Saeed Rastegar
NIT - Iran
Dr. Reza Ghaderi
- Iran
Dr. Gholamreza Ardeshipr
- Iran
Dr. Nima Asadi
- Iran