The web app can be used to detect fraudulent notes accurately based on the features: wavelet variance, wavelet skewness, wavelet kurtosis, and image entropy. The model was trained on these features which were extracted from a set of images of geniune and forged banknotes.
For more details about the dataset check out here
You can check out the web app here!
-
Notifications
You must be signed in to change notification settings - Fork 0
Amal4m41/Bank-Note-Authentication
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Bank note authentication web app created using Random forest classifier and FastApi.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published