Read about automatic license plate recognition source code, The latest news, videos, and discussion topics about automatic license plate recognition source code from alibabacloud.com
a friend asked me yesterday, Mobile -Phone license plate recognition technology for mobile phones can also be used it? I gave him a detailed introduction.Core technology:Mobile license plate Recognition technology,IOS
accuracy of the segmentation and the efficiency of the algorithm. The flowchart of the license plate segmentation algorithm is shown in Figure 4-2.
4.3.1-Character Segmentation process
The specific flow of the license plate segmentation algorithm is as follows:
1. After the positioning of the
a friend asked me yesterday, Mobile -Phone license plate recognition technology for mobile phones can also be used it? I gave him a detailed introduction.Core technology:Mobile license plate Recognition technology,IOS
license plate Recognition has become one of the key work of traffic vehicle management, at present, mobile license plate recognition in China's police service, parking lot handheld charging machine, such as mobile terminals of the
1, what EASYPR data set;eASYPR is an open-source Chinese license plate recognition system whose goal is to become a simple, efficient and accurate license plate recognition library unde
OpenALPR can be used as a License Plate Recognition System.GuideNetwork monitoring cameras have now become one of the most important security tools, but you may not have time to view what the cameras have captured, so that their functions will not be so great. There is an open-source software library called OpenALPR (
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
Mobile Phone End Plate recognition technology refers to the technology of identifying vehicle identity by extracting the character information from the vehicle image through computer vision, image processing and pattern recognition . Mobile License plate
, and contour search.
The number of online character segmentation materials is relatively small. I have been in contact with opencv for a while, and I have made some suggestions on it. I hope to discuss it with you.
The following are all source code:
// ================================================ ==========
// Write by sing
// 2010-10-10
// ================================================ ==========
#
Advantages of the Mobile license plate recognition OCR system:1. Fast recognition Speed: Highly optimized license plate location and recognition algorithm, the
Here is the lpr of a few articles on the previous project some of the relevant information, involved in the laboratory internal information is not put up, I hope to understand this aspect of the students, some help, it is afraid to know a probably better. It's good to know the whole idea. At the beginning is a person blind groping, go a lot of detours, also calculate to other people a little advice.License Plate R
At present, mobile license plate recognition in China's police service, parking lot handheld charging machine, such as mobile terminals of the use of more popular, if in these terminals can integrate license plate recognition func
License plate Recognition technology (Vehicle License Plate RECOGNITION,VLPR) is an application of computer video image recognition technology in vehicle
The Web Service license plate recognition is the server Edition license plate OCR recognition software, belongs to the backend recognition, theWeb service
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
Travel essentials vehicles In the convenience of people to travel at the same time, resulting in a significant increase in vehicle management problems:The number of cars and the development of vehicle managers over time form a big loophole. Thus with the license plate Recognition SDK to help the electronic eye, mobile Police, site survey and other activities, red
This blog is my undergraduate dissertation. It took me half a year to complete the system, and a lot of time was gained. Thanks for helping my teachers and classmates. Share with you here.This paper first introduces the background and research status of the project, then introduces the scheme selection and design process. The design process includes the license plate Re
Identifying ideas:
1, through the camera to collect pictures
2, to the picture denoising, contrast enhanced processing and other operations
3, the location of the license plate position, collect the license plate information
4, the 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 corresponding to the width of the image, we need to use
area, the test sample is not related to the previous training sample, for another selection. Store in Directory F:\SVM_data\testdata
Three, the code introductionIn fact, the idea is very simple, for 100 positive samples and 70 negative sample images, first each picture will be converted to 1-dimensional array, the array length is 4752 (also 144 by 33), will also be the image of all the pixel values as a feature, of course, you can also select the ima
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.