license plate image dataset

---restore content starts---Nothing recently, the company leaders want us to understand the image processing, so learning the following! Because I am not very good at C + +, I can only try to write code in C #! However, there is little information about EMGU CV on the Internet, and many of them are in English, and they are not detailed. So slowly pondering. Wrote a C # positioning license

The realization of OPENCV's CVSVM is based on LIBSVM,LIBSVM, a world-famous SVM library written by Professor Lin Chih-jen of Taiwan University (probably the most widely used library in the industry today). The input of SVM's Perdict method is the characteristic of the data to be predicted, also called features. Here, we enter a feature that is all pixels of the image. Since SVM requires that the input should be a vector, and mat is a matrix correspond

with the same purpose. (ii) finding the trough The ideal trough can be defined by changing the critical condition in the red box.When the critical condition is that the pixel cumulative value for each column is 18 o'clock, the effect graph is as follows(iii) SummaryThe main point of the character cutting through vertical projection is to find the exact trough of the character interval, and the Chinese characters with radicals in this experiment are not accurately cut in the middle of Chinese ch

This article was reproduced from: http://blog.csdn.net/ap1005834/article/details/51340831 First, preface This article refers to the automatic license plate recognition project in the deep understanding of OPENCV practical Computer Vision Project analysis, and then carries on the practice after understanding the method. The difficulty of accurately identifying the sequence of the characters in the