Abstract
A computer vision system to recognize license plates of vehicles in real-time environments is presented in this study. The images of moving vehicles are taken with a digital camera and analyzed in real-time. An artificial neural network (ANN) system is used to locate the area and position of the license plate. The system has the following stages: (i) Image acquisition and determination of the location of the vehicle license plate (VLP), (ii) segmentation of the VLP into separate characters using image processing techniques, and (iii) recognition of each symbol in VLP using a feedforward artificial neural network (ANN) and assembly of the characters. Performance results are presented at the end.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Pal, U., Chaudhuri, B.B.: Machine-printed and hand-written text lines identification. In: Pattern recognition letters, pp. 431–441. Elsevier, Amsterdam (2001)
Blumenstein, M., Verna, B.: Neural based segmentation and recognition technique for handwritten words. In: Proc. Of World Congress on Comp. Intell., Alaska, USA, pp. 1738–1742 (1998)
Zheng, B., Qian, W., Clarke, L.: Multistage neural network for pattern recognition in mammogram screening. In: Proc. of 1994 IEEE Int’l Conf. on Neural Networks (ICNN), Orlando, FL, USA, pp. 3437–3448 (1994)
Han, K., Sethi, I.K.: Handwritten signature retrieval and identification. Pattern Recognition Letters 14, 305–315 (1993)
Iee, S.W.: Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network. IEEE Trans. on Patt. Anal. and Mach. Intell. 18, 648–650 (1996)
Draghici, S.: A neural network based artificial vision system for license plate recognition. Int’l J. of Neural Systems 8, 113–126 (1997)
Wei, W., Wang, M., Huang, Z.: An automatic method of location for number-palate using color features. In: Proc. of 2001 IEEE Int’l Conf. on Image proc (ICIP), vol. 1, pp. 780–785 (2001)
Lee, C.: SIMNET: A neural network architecture for pattern recognition and data mining. PhD thesis, University of Missouri-Rolla (2003)
Aksoy, M.S., Cagil, G., Turker, A.K.: Number palate recognition using inductive learning. Robotics and Autonomous Systems 33, 149–153 (2000)
Oz, C., Koker, R.: Vehicle License plate recognition using artificial neural Networks. In: Proc. of Second Int’l Conf. on Electrical and Electronics Engineering, Bursa, Turkey, pp. 378–380 (2001)
Grattoni, P., Pettiti, G., Rastello, M.L.: Experimental set-up for the characterization of automated number-plate recognizers. Measurements 26, 003–004 (1999)
Zarrillo, M.L., Radwan, A.E., Aldeek, H.M.: Modeling traffic operations at electronic tool collection and traffic management systems. Computers and Industrial Engineering 33, 857–860 (1997)
Kou, Y., Hsu, J.: Color-blindness plate recognition using a neuro-fuzzy approach. Engineering Applications of Artificial Intelligence 11, 530–547 (1998)
Jain, A.K., Yu, B.: Automatic text location in images and video frames. In: Proc. of ICPR, pp. 1499–1498 (1998)
Zhou, J., Lopresti, D.: Extracting text from www images. In: Proc. of Fourth ICDAR, pp. 048–050 (1997)
Wu, V., Manmatha, R., Riseman, E.N.: Finding text in images. In: Proc. of 2nd ACM Int’l. Conf. on Digital Libraries, Images and Multimedia, pp. 3–12 (1997)
Jain, A.K., Bhattacharjee, S.: Text segmentation using gabor filters for automatic document processing. Machine Vision Applications 5, 069–084 (1992)
Li, H., Doermann, D., Kia, O.: Automatic text detection and tracking in digital video. IEEE Transactions on Image Processing 9, 047–056 (2000)
Zarrillo, M.L., Radwan, A.E., Aldeek, H.M.: Modeling traffic operations at electronic tool collection and traffic management systems. Computers Industrial Engineering 33, 857–860 (1997)
Abulafya, N.: Neural networks for system identification and control. MSc Thesis. University of London (1995)
Narendra, K.S.: Adaptive control using neural networks. Neural Networks for Control, MIT (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Oz, C., Ercal, F. (2005). A Practical License Plate Recognition System for Real-Time Environments. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_108
Download citation
DOI: https://doi.org/10.1007/11494669_108
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26208-4
Online ISBN: 978-3-540-32106-4
eBook Packages: Computer ScienceComputer Science (R0)