blur license plate

[Code Note] verifies the mobile phone number, email address, license plate number, and license plate number. I. Code. -(Void) viewDidLoad {[super viewDidLoad]; // Do any additional setup after loading the view. NSLog (@ "------ % d ------", [self isValidateEmail: @ "12345"]); NSLog (@ "------ % d ------", [self isValid

/*** First: Ordinary cars* License plate number format: Kanji + A-z + 5 bit A-Z or 0-9 (license plate number does not exist letter I and O Prevent and 1, 0 confusion)* (only common license plate number, Coach car, police grade.) S

As mentioned in the previous article, license plate locating is based on an example in the opencv sample. I think it is theoretically feasible, but I have never performed any operations. Today I am free. I modified the code and tried several images. I found that the effect is good. The code is specially pasted to communicate with opencv learners and hope to give some guidance with high fingers. O (partition

, can identify identity cards, driving licences, business cards and other identification documents, as well as vehicle driving license, license plate number and other vehicle information. With the camera support and video triggering, automatic classification function, can achieve rapid batch acquisition of identity card information.Functional Features: U

caused by this averaging, we set a fixed threshold for the difference between the pixel value of the center point and its neighborhood mean, and only the point talent that is greater than the threshold value is replaced by the neighborhood mean, and the difference is not greater than the threshold value, the original value is retained, thus reducing the image blur caused by averaging.The Vehicle license

process of dividing an image into many parts. This process simplifies image analysis and makes feature extraction easier. An important feature of license plate segmentation is the high number of vertical edges in the license plate (which is more vertical edges) (assuming the photo is taken from the front, the

Http://www.eeworld.com.cn/qrs/2015/1023/article_25403.htmlI. Project background and feasibility analysis2.1 Project background and technical difficulties Project Name: Intelligent Transportation: Vehicle license plate location recognition; Project content: This project is in real-time FPGA front-end image acquisition, preprocessing, license