Analysis of the Security Features of Banknotes to Facilitate Authentication
Archana D. Naik, Chirag Goenka, Asra Fathima, T S Anagha, Aneesh R Thimmapurmath, Shridhar B. Devamane · 2023
The main motto of this research is to develop a secure and reliable method for authenticating notes in a digital format. The proposed system uses a combination of processing methods along with machine learning algorithms for analysing the pre-defined parameters of a digital note. The parameters are analysed and compared to existing digital notes for authentication. Additionally, the system also examines the texture, shape, and colour of the note to further enhance the security of the authentication. The proposed system provides significant improvements in the accuracy and speed of digital note authentication as compared to existing methods.