Table of Contents
The built-optimized model for this type of captcha is using ONNX.
The Open Neural Network Exchange is an open-source artificial intelligence ecosystem of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector. ONNX is available on GitHub.
- Clone the repo
git clone https://github.com/AmireNoori/PersianCaptchaSolver
You must have installed onnxruntime>=1.15.0 library.for GPU support install : onnxruntime-gpu.
you can install all the libraries using the requirements.txt file by entering the following command in the terminal.
Captcha solving speed using this library is less than 1 second in normal systems, as a result you will not need gpu ! Also, the size of the model is less than a few megabytes.
The accuracy of the model is between 75% and 90% .
- Install packages
cd PersianCaptchaSolver pip install -r requirements.txt
This tool is written in the form of a library that you can easily import and use in your robot or program.
- An example of how to use :
Create a main.py file and enter the following codes in it.
- Example
from PersianCaptchaSolver import CaptchaSolver captcha_path = "captcha.jpg" #Captcha Image Path extracted_text , result = CaptchaSolver.Solve(captcha_path) print(extracted_text) # 8+4 print(result) # 12
- Terminal
python main.py
This screenshot is an example of the results obtained from the 20 captcha images shared for you
As you can see in the picture, there are some mistakes in the results.
For example, in some images, the program calculates the answer incorrectly due to the similarity between the words یازده and پانزده.
If you are make a web script using seleinum or other tools that uses this library, you can solve this problem by creating an error handling or try , except block.
For example, in 15+8=23 :
If the 23 entered on the web page was wrong, use the extracted_text variable to replace the number 11 with the number 15 and calculate the answer again.
This project is licensed under the MIT License.
MIT License
Copyright (c) [2024] [Amir Noori]
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Amir Noori - @AmireNoori1 - noorifardam@gmail.com
Project Link: https://github.com/AmireNoori/PersianCaptchaSolver
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