License Plate Extraction Using Adaptive Threshold and Line Grouping

摘要：

License plate recognition system is an essential tool for the Traffic Police Department and so, is widely being used for road traffic surveillance in many countries. This paper aims at locating the license plate in any given traffic surveillance image, by detecting the rectangle like shapes in that image. Line grouping algorithm extracts these shapes in the in put image to locate the license plate. But its accu racy falls sharply for images where the license plate boundary suffers from occlusions leading to broken boundaries. The use of adaptive threshold and contours, instead of canny edge detector. to extract the line segments greatly increases the accuracy of line grouping algorithm, which is also verified by the results.

关键词： adaptive threshold contours: license plate extraction line extrction linegrouping occlusion

作者: A. Ravi Theja Shashank Jain Abhishek Aggarwal V. Krishna Rao Kandanvli

作者单位: Department of Electronics and Communication Engineering Motilal Nehru National Institute of Technology Allahabad, India

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 211-214

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）