Match an input signature with existing signatures in database, along with the target user name as input.
First Create a dataset of Signatures in assets folder. Create folder with user names, such as: zayed, raihan, shamim, partho, etc. Then in each folder, store the signature images in ".jpg" or any format (Then change the format in code in respective places). The store images can have names such as: zayed1.jpg, zayed2.jpg, zayed3.jpg, ... etc. Create as many users as you want.
After running "validator.py", in the tkinter UI: Give the name of the user you want to validate. You can display the user database by clicking view. Then you can upload or capture the signature which you want to validate. After clicking validate, the popup will show the percentage match of the signatures. The signatures are compared using "Structural Similarity Index Method (SSIM)" Method.
- tkinter
- OpenCV
- Scipy
- Scikit-learn
- Scikit-image
- numpy
python validator.py
ssim.mp4
- you have any suggestion to improve this project
- you noticed any problem or error