期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

License Plate Recognition for Parking Control System by Mathematical Morphology 被引量：1

License Plate Recognition for Parking Control System by Mathematical Morphology
下载PDF
导出
摘要 Nowadays, license plate recognition for parking systems is a critical task to provide automatic control of customers and payment. This paper introduces a new method for automatic recognition of license plates of vehicles by mathematical morphology. The proposed method can provide the license plate number of the plates in different light conditions, colors, sizes, and inclination （angles）. The algorithm can recognize the license plates of European Union vehicles quickly and correctly. The pattern learning of mathematical skeletons has high efficiency in the process. The performance of the algorithm is demonstrated well by the test in a parking control system. Nowadays, license plate recognition for parking systems is a critical task to provide automatic control of customers and payment. This paper introduces a new method for automatic recognition of license plates of vehicles by mathematical morphology. The proposed method can provide the license plate number of the plates in different light conditions, colors, sizes, and inclination （angles）. The algorithm can recognize the license plates of European Union vehicles quickly and correctly. The pattern learning of mathematical skeletons has high efficiency in the process. The performance of the algorithm is demonstrated well by the test in a parking control system.
作者 Javier Ortiz Alberto Gómez
机构地区 Department of Physics Department of Communications Engineering
出处 《Journal of Electronic Science and Technology》 CAS 2014年第1期81-84,共4页 电子科技学刊（英文版）
基金 supported by the University of Alicante Project under Grant No.PPC–1928273/A
关键词 License plate recognition mathe-matical morphology skeleton. License plate recognition, mathe-matical morphology, skeleton.
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] U491.71 [交通运输工程—交通运输规划与管理]
  • 相关文献

参考文献15

  • 1D. Sinha and C. Giardina, "Discrete black and white object recognition via morphological functions," IEEE Trans. on Patterns Analysis and Machine Intelligence, vol. 12, no. 3, pp. 275-293, 1990.
  • 2J. Ben-Arie, K. Rao, and Z. Wang, "Robust shape description and recognition by gradient propagation," in Proc. of Int. Conf. on Image Processing, Washington, DC, 1995, pp. 368-371.
  • 3K. Kupeev and H. Wolfson, "A new method of estimating shape similarity," Pattern Recognition Letter, vol. 17, no. 8, pp. 873-887, 1996.
  • 4M. Aksoy, G. Cagil, and A. Turker, "Number-plate recognition using inductive learning," Robotics and Autonomous Systems, vol. 33, no. 2-3, pp. 149-153, 2000.
  • 5H. Karim and Y. Zhang, "Vehicle number plate recognition using mathematical morphological and neural networks," WSEAS Trans. on Computers, vol. 10, no. 7, pp. 781-790, 2008.
  • 6S. Lee, "Off-line recognition of totally unconstrained handwritten numerals using multiple cluster neural network," IEEE Trans. of Pattern Analysis and MachineIntelligence, vol. 18, no. 6, pp. 648-652, 1996. ].
  • 7P. Soille, Morphological Image Analysis, Principles and Applications, Berlin: Springer-Verlag, 2003, ch 3.
  • 8J. Serra, Image Analysis and Mathematical Morphology, London: Academic Press, 1988, pp. 21-34.
  • 9J. Serra, Image Analysis and Mathematical Morphology, vol lI: Theorieal Advances, London: Academic Press, 1988, pp. 23-45.
  • 10F. Ortiz, A. Naranjo, and A. G6mez, "Authomatic vehicle number recognition by mathematical morphology and data mining," in Proc. of Int. Conf. on Machine Learning and Data Mining, New York, 2011, pp. 77-81.

同被引文献7

引证文献1

二级引证文献4

Journal of Electronic Science and Technology
2014年 第1期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部