Abstract
Automatic license plates identification (ALPI) is an important element of intelligent transportation systems. Most of ALPI systems are usually tackled in three stages: license plate detection/localization, character segmentation and character recognition. Character segmentation (CS) plays an important role in ALPI systems: the performance of the segmentation algorithm has a heavy impact on the final recognition accuracy. In this work, a simple approach for segmentation of characters in Moroccan license plate images is proposed. Experiments on a challenging dataset including 60 images confirm the robustness of the proposed method against severe imaging conditions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anagnostopoulos, C.N.E., Anagnostopoulos, I.E., Loumos, V., Kayafas, E.: A license plate-recognition algorithm for intelligent transportation system applications. IEEE Trans. Intell. Transp. Syst. 7(3), 377–392 (2006)
Beyerer, J., León, F.P., Frese, C.: Machine vision: Automated visualinspection: Theory, practice and applications. Springer (2015)
Giannoukos, I., Anagnostopoulos, C.N., Loumos, V., Kayafas, E.: Operator context scanning to support high segmentation rates for real time license plate recognition. Pattern Recogn. 43(11), 3866–3878 (2010)
Guo, J.M., Liu, Y.F.: License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques. IEEE Trans. Veh. Technol. 57(3), 1417–1424 (2008)
Hsieh, J.W., Yu, S.H., Chen, Y.S.: Morphology-based license plate detection from complex scenes. In: Object Recognition Supported by User Interaction for Service Robots, vol. 3, pp. 176–179. IEEE (2002)
Intawong, K., Scuturici, M., Miguet, S.: A new pixel-based quality measure for segmentation algorithms integrating precision, recall and specificity. In: International Conference on Computer Analysis of Images and Patterns, pp. 188–195. Springer (2013)
Jia, X., Wang, X., Li, W., Wang, H.: A novel algorithm for character segmentation of degraded license plate based on prior knowledge. In: 2007 IEEE International Conference on Automation and Logistics, pp. 249–253. IEEE (2007)
Jian, Z., Xiaoping, F., Cailun, H.: Research on characters segmentation and characters recognition in intelligent license plate recognition system. In: 2006 Chinese Control Conference, pp. 1753–1755. IEEE (2006)
Jiao, J., Ye, Q., Huang, Q.: A configurable method for multi-style license plate recognition. Pattern Recogn. 42(3), 358–369 (2009)
Kranthi, S., Pranathi, K., Srisaila, A.: Automatic number plate recognition. Int. J. Adv. Tech. 2(3), 408–422 (2011)
Li, H., Wang, P., You, M., Shen, C.: Reading car license plates using deep neural networks. Image Vis. Comput. 72, 14–23 (2018)
Meyer, F.: Topographic distance and watershed lines. Sig. Process. 38(1), 113–125 (1994)
Najman, L., Couprie, M.: Watershed algorithms and contrast preservation. In: International Conference on Discrete Geometry for Computer Imagery, pp. 62–71. Springer (2003)
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)
Patel, C., Shah, D., Patel, A.: Automatic number plate recognition system (ANPR): a survey. Int. J. Comput. Appl. 69(9), 21–33 (2013)
Qiao, S., Zhu, Y., Li, X., Liu, T., Zhang, B.: Research of improving the accuracy of license plate character segmentation. In: 2010 Fifth International Conference on Frontier of Computer Science and Technology, pp. 489–493. IEEE (2010)
Sedighi, A., Vafadust, M.: A new and robust method for character segmentation and recognition in license plate images. Expert Syst. Appl. 38(11), 13497–13504 (2011)
Sharma, C., Kaur, A.: Indian vehicle license plate extraction and segmentation. Int. J. Comput. Sci. Commun. 2(2), 593–599 (2011)
Shidore, M., Narote, S.: Number plate recognition for Indian vehicles. IJCSNS Int. J. Comput. Sci. Netw. Secur. 11(2), 143–146 (2011)
Tian, J., Wang, R., Wang, G., Liu, J., Xia, Y.: A two-stage character segmentation method for Chinese license plate. Comput. Electr. Eng. 46, 539–553 (2015)
Zakaria, M.F., Suandi, S.A.: Malaysian car number plate detection system based on template matching and colour information. Int. J. Comput. Sci. Eng. 2(04), 1159–1164 (2010)
Zhang, Y., Zhang, C.: A new algorithm for character segmentation of license plate. In: IEEE IV 2003 Intelligent Vehicles Symposium Proceedings, (Cat. No. 03TH8683), pp. 106–109. IEEE (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Fadili, A., El Aroussi, M., Fakhri, Y. (2020). An Efficient Method for Character Segmentation in Moroccan License Plate Images. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1106. Springer, Cham. https://doi.org/10.1007/978-3-030-36677-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-36677-3_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36676-6
Online ISBN: 978-3-030-36677-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)