How to use Python and OCR technology to try to crack complex verification codes?

Python conquers complex verification codes: a journey of exploration

Verification code is an important line of defense for network security and prevents malicious automation programs from intrusion. However, in the face of complex verification codes, users are often helpless. Recently, a new type of verification code has caused heated discussion, and users hope to use the Python library to crack it.

The verification code image is as follows:

[Verification code image]

The community recommends deep learning and OCR (optical character recognition) technology. The ddddocr open source project is recommended as a potential solution.

However, ddddocr and similar technologies are not panacea. Faced with carefully designed complex verification codes, the recognition rate of deep learning and OCR can be disappointing.

But that doesn't mean giving up on your efforts. With the development of technology and the improvement of data sets, verification code cracking technology is expected to make breakthroughs in the future. Continuous attention and experimentation of new technologies and tools are the key to cracking verification codes.

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