Iris Recognition-Based ATM with Neural Networks

The Iris Recognition-Based ATM introduces a secure and advanced authentication method for financial transactions. Neural networks analyze iris patterns for user identification, providing a biometrically secure alternative to traditional methods. This innovation enhances ATM security, reduces the risk of fraudulent activities, and ensures a user-friendly banking experience. The incorporation of neural networks guarantees precise and swift user authentication, reinforcing the overall security of financial transactions.

Software Requirements :-

  1. Operating System: Win 7 or more
  2. Programming Language: Python

Hardware Requirement :-

  1. Processor-i3
  2. Hard disk-5GB
  3. Memory-2GB RAM