An Improved Method for Vietnam License Plate Location based on Mathematic Morphology & Measuring Properties of Image Regions
In the Automatic License Plate Recognition (ALPR) system, the License Plate Location (LPL) is the key step before the final recognition. This paper proposed an improved LPL algorithm for Vietnam vehicle license plates (LP). The proposed algorithm consists of three main modules: Pre-processing (convert RGB image to grayscale image, adjust grayscale image intensity, image binarization use Otsu method), LP candidates location (morphology opening to remove noises & dilation operation, measure properties of image regions to find candidates), LP exactly location (finding the LP angle & rotating LP, cut exactly LP region). We implemented test for 350 Vietnam vehicle images, which obtained from the actual system, the average rate of accuracy of our method is 98.64％, our results are more exactly presented methods.
License plate location mathematic morphology Ostu method image measuring.
VinhDu Mai Duoqian Miao Ruizhi Wang
Department of Computer Science and Technology,Tongji University, Shanghai, China Electrical & Electr Department of Computer Science and Technology,Tongji University, Shanghai, China
国际会议
上海
英文
1995-1999
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）