| 1. | Auxiliary vertical projection
辅助垂直投影 |
| 2. | Orthogonal projection and the derivatives asset pricing under incomplete market
垂直投影与非完全市场条件下的衍生资产定价 |
| 3. | The algorithm can not only locate the most accurate point between characters quickly , but also overcome the interference of image noises and plate frame
摘要在车牌先验知识的基础上提出了一种基于垂直投影特征值的分刻方法。 |
| 4. | About the character segmentation , this article studies the method of based on vertical projection difference analysis , which can reflect the width of apex and paddy
这个差分值反映了垂直投影图的峰谷宽度信息。针对车牌大小不一，存在少量污渍和其他干扰的车牌有较好的分割效果。 |
| 5. | We roughly locate the organs using horizontal projection and vertical projection of the image , then we locate them exactly using a fast module - matching algorithm . ( 2 ) the generation of facial expression
我们先利用脸部图像的垂直投影和水平投影对脸部器官进行了粗定位，然后通过一种快速的模板匹配算法进行了脸部器官(主要是眼睛和嘴巴)的精确定位。 |
| 6. | The three steps included in the algorithm are license plate segmentation , which consists of rough segmentation and accurate segmentation , character segmentation and character recognition . the rough segmentation transforms the original image into a texture image , and locates the plate - like areas through the intensity of textures in these areas , and thus finds out the only true plate area according to their gray vertical projection
对车牌定位，论文研究了纹理分析和灰度垂直投影相结合的粗定位算法，先把图像转换成纹理图，利用车牌区域纹理丰富的特点找到各个类似车牌的区域，然后对这些车牌候选区域采取垂直方向的灰度投影来判别真伪车牌，获得唯一的车牌区域。 |
| 7. | In the chapter of character segmentation , the traditional method of finding minimum vertical projections combined with plate license format is used . the use of space mark matching method proposed in this dissertation to ensure the first segmentation position obtains a very high rate of success
在字符分割方面，提出了间隔符区域匹配的方法获得分割起始位置、并以二值图像垂直投影寻找极小点结合车牌制式先验知识的算法，以消除车牌左右两端定位精度对字符分割的影响。 |
| 8. | The detail is that starts from the fourth character image ( the middle of license plate ) , centers it , and then segments every character seriatim to the direction of left and right . it makes full use of the feature of the image . the priori information of license plate does well with the character conglutination and character rupture and presents a nice pre - segment
本文主要采用了引入先验知识、垂直投影和最小包络等方法从中间第四个字符开始，向左右两边进行逐一分割的方法，充分利用了图像本身的特点，引进的先验知识不受字符的粘连和断裂的影响，有很好的预分割效果，最后的综合分割效果较好，为字符的识别造好了准备。 |
| 9. | ( 3 ) due to the handwriting image may contain lines of different height and the different spacing between words and lines . these factors will influence the veracity of texture extraction . so i advance a method to normalize the handwriting image , which combine the horizonal projection profile method , vertical projection profile method and padding method
( 3 )为了去除行间距、字间距、不同行高等不带书写人笔迹风格而影响特征提取准确性的因素，论文对笔迹图像的范化问题进行了研究，提出了一种将水平投影法、垂直投影法和字块拼接法结合的笔迹字块归一化的方法，使归一化操作一次完成，同时保证了笔迹文本内容的完整性。 |
