The week's pick
Reseach Article
Car License Plate Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 128 - Number 13 |
| Year of Publication: 2015 |
| Authors: Swapnil A. Pagore, M.S. Deshpande |
10.5120/ijca2015906716
|
Swapnil A. Pagore, M.S. Deshpande . Car License Plate Detection. International Journal of Computer Applications. 128, 13 ( October 2015), 8-11. DOI=10.5120/ijca2015906716
Abstract
This paper deals with car license plate detection (CLPD) system in order to identify vehicles by capturing their car license plates (CLP). Car license plate detection (CLPDS) is an emerging area of research due to various applications such as prevention of crime, electronic toll system, intelligent traffic control system etc. In the proposed system, after converting the color input image into grayscale, an adaptive thresholding is used to obtain the binary image. Then the unwanted lines are removed through an unwanted-line elimination algorithm (ULEA). Finally to detect the license plate, vertical edges are detected by Sobel operator. Experiments were carried out for detection of front view as well as rear view of license plates. The experimental evaluation is carried out for 60 images taken from roadside and parking lots. The proposed method yields 96.9% detection accuracy.
References
- Abbas M. Al-Ghaili, Syamsiah Mashohor, Abdul Rahman Ramli, and Alyani Ismail “Vertical edge based car license plate detection method” IEEE transansation on vehicular technology, vol. 62, no. 1, pp. 26 38, January. 2013
- J.-W. Hsieh. S.-H. Yu, and Y.S. Chen, “ Morphology-based license plate detection from complex scenes,” in proc. 16th int. conf. pattern Recognit., Quebec city, QC, Canada, 2002, pp.176-179.
- F. Martin, o. Martin, M. Garcia, and J. L. Alba, “New methods for automatic reading of VLP’s (Vehicle License Plates),” in proc. LASTED Int. Conf. signal Process Pattern Recognit, Appl., Heraklion, Greece, 2002, pp. 126-131.
- S.-H. Le, Y.-S. Seok, and E.-J. Lee, “Multi-national integrated car-license plate recognition system using geometrical feature and hybrid pattern vector,” in proc. Int. Tech. Conf. Circuits Syst. Comput. Commun., Phuket, Thailand, 2002, pp. 1256-1259.
- J.-M. Guo and Y.-F. Liu, “License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques,” IEEE Trans. Veh. Technol., vol. 57, no. 3, pp. 1417-1424, May 2008.
- S. Kim, D. Kim, Y. Ryu, and G. Kim, “A robust license-plate extraction method under complex image conditions,” in Proc. 16th Int. Conf. Pattern Recognit., Quebec City, QC, Canada, 2002, pp. 216–219.
- Z.-X. Chen, Y.-L. Cheng, F.-L. Chang, and G.-Y. Wang, “Automatic license-plate location and recognition based on feature salience,” IEEE Trans. Veh. Technol., vol. 58, no. 7, pp. 3781–3785, Sep. 2009.
- E. R. Lee, K. K. Pyeoung, and J. K. Hang, “Automatic recognition of a car license plate using color image processing,” in Proc. IEEE Int. Conf. Image Process., 1994, pp. 301–305.
- D. Bradley and G. Roth, “Adaptive thresholding using integral image,’’ J. Graph. Tools, vol. 12, no. 2, pp. 13-21, Jun. 2007.
- H. Caner, H. S. Gecim, and A. Z. Alkar, “Efficient embedded neural network-based license plate recognition system,” IEEE Trans. Veh. Technol., vol. 57, no. 5, pp. 2675–2683, Sep. 2008.
- S. Rovetta and R. Zunino, “License-plate localization by using vector quantization,” in Proc. Int. Conf. Acous., Speech, Signal Process., 1999, pp. 1113–1116.
- L. S. Davis, “A survey of edge detection techniques,” J.Comput. Graph. Image Process., vol. 4, no. 3, pp. 248–270, Sep. 1975.
- J. K. Aggarwal, R. O. Duda, and A. Rosenfeld, Computer Methods in Image Analysis. New York: IEEE Press, 1977.
- J. Matas and K. Zimmermann, “Unconstrained license plate and text localization and recognition,” in Proc. IEEE Int. Conf. Intell. Transp. Syst., Vienna, Austria, 2005, pp. 572–577.
Index Terms
Keywords