文件名称:LicensePlateRecognition

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图像中汽车牌照定位的准确与否,直接关系到自动车牌识别系统的整体性能.考虑由于时间和气候光照特性不同造成车牌图片清晰度的明显差异,提出一种新的自适应动态阈值车牌定位的算法.该方法首先分析图像的清晰度,将图像的白点数固定在一个与差分均值成正比的比例值内.然后,去除离散噪声.针对车牌区域的行和列有不同的特征,用不同的方法进行车牌横向和纵向区域的精确定位,最终找到目标车牌区域.实验显示,该方法对车牌定位的准确率达到98.7 -Image vehicle license positioning accuracy is directly related to the automatic license plate recognition system s overall performance. Considered due to time and weather caused by different license plate illumination characteristics significantly different picture clarity, a new adaptive dynamic threshold plate positioning algorithm the method first analyzes the sharpness, the white point of the image in a fixed proportion of the differential value is proportional to the mean inner then, remove the discrete noise plate area for the rows and columns have different characteristics, with different methods for horizontal and vertical plates pinpoint areas, and ultimately find the target plate region. experiments show that the method plate positioning accuracy rate of 98.7
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车牌识别(改定位)\ISICA 2008国际会议通讯录.xls

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