Example Analysis of Python recognition Picture Verification Code

This article introduces the example analysis of Python identification picture verification code, the content is very detailed, interested friends can refer to, I hope it can be helpful to you.

-- ddddocr

Environmental requirements:

Python > = 3.8 Windows Greater Linux Universe Macox..

You can install it with the following command

Pip install ddddocr

Parameter description:

Randomly look for a CAPTCHA picture on the Internet and use this library for actual combat. So students who want to learn, it is necessary to listen to this teacher's class, receive python welfare ao, students who want to learn can go to Mengya teacher's Weixin (homonym): the front row is: 762, the middle row is: 459, the back row group is: 510, put the above three groups of letters together in order, she will arrange to learn.

Source: Baidu search

Import ddddocrocr = ddddocr.DdddOcr () with open ('1.pngbread,' rb') as f:img_bytes = f.read () res = ocr.classification (img_bytes) print (res)

Successfully identified the CAPTCHA text!

And the advantages are also very obvious: first of all, the code is very concise, compared with the two methods mentioned above, there is no need to set additional environment variables, and so on, 5 lines of code can easily identify the CAPTCHA picture. On the other hand, do we use the magic command%% time to test it? this code is very fast.

Let's continue the test with more CAPTCHA images:

This is the end of the example analysis of the Python identification picture verification code. I hope the above content can be helpful to everyone and learn more knowledge. If you think the article is good, you can share it for more people to see.