Recognizing Persian license plates in digital zoom condition

摘要：

In this paper,we propose an algorithm of license plates recognition from their images captured by a camera in digital zoom using a binary time delay neural network (TDNN).Moreover,hard conditions such as the distance and angle variations as well as weather and light conditions are considered.For training the neural network,we collected the training images using the Zernike moment when the camera was not in the magnification state and the test images when the camera was in zooming state.The comparison was made between the proposed algorithm and the previous methods in character recognition like SVM and classical TDNN.The algorithms have been evaluated using SO license plate images with magnification of 8.The recognition rate obtained by the proposed algorithm was 70％.

关键词： Zernike moment Time Delay Neural Network SVM Persian License Plate recognition Character recognition

作者: Elham Kordi Ghasrodashti Mehran Yazdi

作者单位: Department of Communications and Electronics Faculty of Electrical Engineering,Shiraz University Shiraz,Iran

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

会议地点: 上海

会议语种:英文

页码: 208-212

在线出版日期: 2010-06-22（万方平台首次上网日期，不代表论文的发表时间）