Bangladeshi Vehicle License Plate Detection method based on HSI color model and geometrical properties

Bangladeshi Vehicle License Plate Detection (BVLPD) plays an important and inevitable role in Vehicle License Plate Recognition (VLPR) system. The most challenging part of this method is to detect the region of the license plate from the vehicle image. In this paper, we propose an algorithm for analyzing the vehicle image to extract the LP position in the image of the vehicle. Initially, HSI color model is adopted to select a threshold for detecting candidate regions and then different geometrical properties of LP such as area, bounding box, aspect ratio are used to determine whether the candidate regions contain LP or not. Finally the candidate region is verified by intensity histogram. The proposed method is able to deal with candidate regions under different scale of the plate. In the experiment more than 100 images are used which are taken under different conditions such as uneven illumination, complex scenes, varied weather and varied distances from the vehicle to camera. The overall rate of success of the license plate detection algorithm is 85%.

[1]  M. Chacon M,et al.  License plate location based on a dynamic PCNN scheme , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

[2]  Xiangjian He,et al.  Region-based license plate detection , 2007, J. Netw. Comput. Appl..

[3]  Ioannis Anagnostopoulos,et al.  A License Plate-Recognition Algorithm for Intelligent Transportation System Applications , 2006, IEEE Transactions on Intelligent Transportation Systems.

[4]  Xinnian Wang,et al.  License Plate Recognition Based On Prior Knowledge , 2007, 2007 IEEE International Conference on Automation and Logistics.

[5]  Kang-Hyun Jo,et al.  Statistical characteristics in HSI color model and position histogram based vehicle license plate detection , 2009, Intell. Serv. Robotics.

[6]  Alan L. Harvey,et al.  Car Number Plate Detection With Edge Image Improvement , 1996, Fourth International Symposium on Signal Processing and Its Applications.

[7]  Subramaniam Ganesan,et al.  An efficient implementation of the Hough transform for detecting vehicle license plates using DSP'S , 1995, Proceedings Real-Time Technology and Applications Symposium.

[8]  Jin Hyung Kim,et al.  Color Texture-Based Object Detection: An Application to License Plate Localization , 2002, SVM.

[9]  Sunghoon Kim,et al.  A robust license-plate extraction method under complex image conditions , 2002, Object recognition supported by user interaction for service robots.

[10]  K. Deb,et al.  Parallelogram and Histogram based Vehicle License Plate Detection , 2008, 2008 International Conference on Smart Manufacturing Application.

[11]  Fernando Martín,et al.  NEW METHODS FOR AUTOMATIC READING OF VLP's (VEHICLE LICENSE PLATES) , 2002 .

[12]  Qingming Huang,et al.  A configurable method for multi-style license plate recognition , 2009, Pattern Recognit..

[13]  Sei-Wang Chen,et al.  Automatic license plate recognition , 2004, IEEE Transactions on Intelligent Transportation Systems.