Random-Forest-Algorithm I used the random forest algorithm to find the bank note authentication in this project. In this case, I used Photos of genuine and forged banknote-like specimens were used to obtain information. An industrial camera, usually used for print inspection, was used for digitization. The final images have a resolution of 400x400 pixels. Gray-scale picturing is possible due to the object lens and distance to the examined object. It was possible to obtain images with a resolution of about 660 dpi. To extract features from images, the Wavelet Transform method was used.
Dataset link : https://www.kaggle.com/ritesaluja/bank-note-authentication-uci-data
The project's frontend was built with Flask, and it was deployed on Heroku.
The requirements.txt file includes all of the dependencies.
Run App.py after all dependencies have been installed.
-
Notifications
You must be signed in to change notification settings - Fork 0
# Random-Forest-Algorithm I used the random forest algorithm to find the bank note authentication in this project. In this case, I used Photos of genuine and forged banknote-like specimens were used to obtain information. An industrial camera, usually used for print inspection, was used for digitization. The final images have a resolution of 400…
saurabhharak/Random-Forest-Algorithm
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
# Random-Forest-Algorithm I used the random forest algorithm to find the bank note authentication in this project. In this case, I used Photos of genuine and forged banknote-like specimens were used to obtain information. An industrial camera, usually used for print inspection, was used for digitization. The final images have a resolution of 400…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published