Description: 车牌照检测和识别，适合初学者学习参考，非常有用！-It is an introduction to license plate recognition algorithm,and it is very useful Platform: |
Size: 3513344 |
Author:Michal |
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Description: 车牌识别程序，在程序内有详细程序说明，不包含测试序列-License plate recognition program, there are detailed procedures in the program description does not contain the test sequence Platform: |
Size: 6144 |
Author:姓名 |
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Description: 这是两篇最新的车牌识别在现在的最新进展，通过查阅最新的技术来实现编程，达到了很好的识别效果-This is the latest number plate recognition in two of the latest now, through the latest technology to achieve access to programming, to achieve a good recognition effect Platform: |
Size: 901120 |
Author:王佳 |
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Description: 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 Platform: |
Size: 12822528 |
Author:caizheng |
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Description: 车牌识别系统，可以自己看看，这个代码比较详细-License plate recognition systems, and can see for yourself, this code in detail Platform: |
Size: 87040 |
Author:鹏淹 |
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Description: 实现车牌识别，内置模板，并带有界面，使用起来很简单(To achieve license plate recognition, built-in template, and with interface, it is very simple to use.) Platform: |
Size: 379904 |
Author:韬韬江水 |
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Search - LicensePlateRecognition