How to identify digitally? How to identify numbers

1 You can start with a simple one, first you can use spy to determine whether the changing number is a standard window class, and whether you can get that number through the getwindowstext() function; If that doesn't work, we can use a hook hook to a function like textout to see if we can get that number; If that doesn't work, it's probably the image map you use, then you can use the following method.

2 You said that you can use image pattern recognition, but I don't think you can do it unless you have to. If the font remains the same, add numbers and decimal points for a total of ten characters, you first find a way to get these 10**, and you can determine that it is the number directly compared after taking a screenshot, right? If that doesn't work, people don't want you to save or get those numbers.

Summary. Dear, good morning, I'm glad to answer for you, to identify the digital captcha, you can try the following methods: 1. Use image processing technology:

You can use image processing libraries (such as OpenCV) to preprocess and process captcha images, such as grayscale, binarization, and noise reduction. The processed images can then be trained and recognized using a number recognition algorithm, such as a convolutional neural network. 2. Use machine learning algorithms:

Machine learning algorithms, such as support vector machines (SVMs), can be used to train on labeled CAPTCHA images. Then, the trained model is used to recognize the new captcha. 3. Use of open-source tools or services:

There are open-source tools or services that can help identify digital CAPTCHAs, such as Tesserract OCR and Google Cloud Vision API. These tools or services have been trained on a large amount of data to recognize digital CAPTCHAs with some degree of accuracy.

Dear, good morning, I'm glad to answer for you, to identify digital captcha, you can try the following methods: 1. Use image processing technology: You can use image processing libraries (such as OpenCV) to preprocess and process captcha images, such as grayscale, binarization, noise reduction, etc.

Then, the processed images can be trained and recognized using a search-slow number recognition algorithm, such as a convolutional neural network. 2. Worldmo uses machine learning algorithms: Machine learning algorithms, such as support vector machines (SVMs), can be used to train the labeled CAPTCHA images.

Then, the trained model is used to recognize the new captcha. 3. Use open-source tools or services: There are some open-source tools or services that can help identify digital captchas, such as Tesseract OCR and Google Cloud Vision API.

These tools or services have been trained on a large amount of data to accurately recognize digital CAPTCHAs to a certain extent.

Dear, please note that the complexity and difficulty of digital verification codes vary, and some verification codes may take measures to prevent automatic identification, such as adding noise judgment buried points, distortion and deformation, etc. In the actual application of manuscript tolerance, it may be necessary to combine a variety of methods and technologies, and make multiple attempts and adjustments to improve the recognition accuracy of the digital captcha.

All numbers are characters. Any number is a character first and then a number. So the question should be how to recognize numbers in characters.

Extract each character one by one, assign it to an integer, and get its ASCII code value. Then, according to the range of the ASCII code, it is determined whether it is a numeric or non-numeric character. As can be seen from the table below, the numeric range of 48 and 57 is numeric characters.

Use the isdigit() function to determine whether a string is a number.

The isdigit() function is included in the header file, prototype: int isdigit(char c); Usage: include function:

Determine whether the character c is a number Note: When c is a number 0-9, a non-zero value is returned, otherwise a zero value is returned.

Let's use isdigit() to implement a ** that determines whether a string is a number or not. This function is to determine whether a certain character is a number, you can use an array of characters to accept the input characters, and then cycle to determine whether each character is a number, if one of them is not a number, then return 0, otherwise return non-0; Contains the number of decimal points and negative symbols.

#include

#include

void main()

If the first character is + or -, it is not judged to be a non-number, it may be a symbolic sign, and continue to judge *

if(a[i]=='.')