A new algorithm for license plate character segmentation based on differencing projection and preferably segmented characters is proposed.
针对车牌字符分割提出一种基于差分投影与优割字符的车牌字符分割算法。
A method to remedy the negative effect arising from slant vehicle license plate's character segmentation and recognition based on character projection is presented.
为解决车牌图像倾斜对字符分割与识别带来的不利影响，提出一种基于字符投影的车牌图像错切校正方法。
The proposed method is divided into two steps: 1 license plate location by the variance of gray image, and 2 license plate segmentation by connected components analysis and projection analysis.
该系统由两个重要步骤组成：1基于灰度方差的车牌定位算法，2结合连通域分析和投影分析的字符切分算法。
Then the methods of normalizing MV, weighted extended vector median (WEVM) filter on the MV fields and the existent segmentation results projection were utilized to obtain the moving mask of object.
然后采用运动向量归一化、噪声向量滤除、权值扩展向量中值（WEVM）滤波及前帧分割结果后向投影技术来得到对象的运动掩码；
With the combination of connected-component-based and vertical-projection-based algorithms, the optimized segmentation result and its confidence level can be obtained.
结合连通分量提取及垂直投影分割算法，可以有效地获取车牌的最优分割结果及其置信度。
With the combination of connected-component-based and vertical-projection-based algorithms, the optimized segmentation result and its confidence level can be obtained.
结合连通分量提取及垂直投影分割算法，可以有效地获取车牌的最优分割结果及其置信度。
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