The analysis and summarization, the projection character of Angle bisector is proved on theory.
通过对角平分线投影特性的分析、总结，从理论上证明了角平分线投影特性。
To study the intersection visibility of two general place planes, this paper set the planes as two faces of front and backs from the point of projection character of a space plane.
为了研究两平面相交可见性的规律，从空间一个平面的投影特点入手，将平面分别设定为正面、背面两面，讨论平面图形各顶点投影顺序与平面正面、背面的投影所具有的内在规律。
We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.
然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想，以及特征矢量的构成方式和归一化方法。
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。
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。
Character strings are identified based on rotating projection without invariant moment.
针对字符串的特点，提出了基于旋转投影不变矩识别字符的方法。
According to the areas of the license plates, complete a single character segmentation using the vertical projection that combined with prior knowledge of the license plate character segmentation.
根据分割出的车牌区域，采用一种垂直投影结合先验知识的车牌字符分割法，完成单个字符的分割。
A new approach for handwritten Chinese character recognition based on multiple hidden Markov model classifiers and sub-region projection transform is proposed in the thesis.
文章提出了一种基于多重隐马尔可夫模型和区域投影变换的手写体汉字识别新方法。
About character divide, author USES 2 value image vertical projection methods with known plate knowledge to divide character apart.
在字符分割方面，作者采用二值图像垂直投影法与先验车牌知识相结合进行字符分割。
A local projection method is used to segment character. At Last, a License Plate Recognition method based support vector machines is proposed.
在字符识别部分，提出了在无特征提取情况下基于支持向量机的车牌字符识别方法。
Traditionally, connected component detection and projection profile analysis have been two common approaches for determining character positions in document images.
传统的文字撷取方法，不外乎是利用相连元件侦测法和投影轮廓分析法，来找出可能的文字区块位置。
Traditionally, connected component detection and projection profile analysis have been two common approaches for determining character positions in document images.
传统的文字撷取方法，不外乎是利用相连元件侦测法和投影轮廓分析法，来找出可能的文字区块位置。
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