中文

Journal of Applied Sciences ›› 2011, Vol. 29 ›› Issue (2): 147-152.doi: 10.3969/j.issn.0255-8297.2011.02.007

• Signal and Information Processing • Previous Articles     Next Articles

Vehicle License Plate Location Based on Machine Learning

ZHANG Pin-zheng, WANG Jian-hong   

  1. Computer Science and Technology Engineering, Southeast University, Nanjing 210096, China
  • Received:2010-10-09 Revised:2011-01-26 Online:2011-03-23 Published:2011-03-26
  • About author:章品正，博士，讲师，研究方向：图像处理与模式识别，E-mail: luckzpz@seu.edu.cn
  • Supported by:

    国家自然科学基金(No.60803058)；江苏省自然科学基金(No.BK2010426, No.BK2008279)；图像处理与图像通信江苏省重点实验室(南京邮电大学)开放基金(No.LBEK2010002)；东南大学校内科研项目基金(No.KJ2010416)资助

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Abstract:

This paper proposes a vehicle license plate locating method based on the Adaboost algorithm and smallest univalue segment assimilating nucleus(SUSAN) corner validation. The Adaboost algorithm is applied for initial classification in order to select target license plate region and reduce the number of candidate areas. SUSAN corner validation is then used to calculate and sort probability of each area belonging to the vehicle
license. The area with the highest probability is taken as the detection result. Experimental results show that the proposed method is robust to different illumination conditions, and the preset parameters produce satisfactory results in different experiments.

Key words:  vehicle license plate location, Adaboost algorithm, SUSAN corner detection

CLC Number: