Inclusive Iris Recognition System For ATM

Inclusive Iris Recognition System For ATM

Kshitij D.Jadhav ,

Student, Department of Computer Technology

K K Wagh Polytechnic Nashik India

kshitijadhav31@gmail.com

Atharva J.Morkar,

    Student, Department of Computer

Technology

K K Wagh Polytechnic Nashik India

          atharvamorkar04@gmail.com

Vidya N. Waghchoure    Lecturer,Department of Computer

Technology

K K Wagh Polytechnic Nashik India ajjadhav@kkwagh.edu.in

           Shreyas L.Lokhande ,

      Student, Department of Computer

                Technology

  K K Wagh Polytechnic Nashik

                  India                      shreyaslokhande009@gmail.com

            Tanmay S.Kolhe,

Student, Department of Computer

                     Technology

K K Wagh Polytechnic Nashik

       India

       tanmaykolhe16@gmail.com

Abstract—With the increasing concerns over ATM fraud, traditional PIN-based authentication methods have become vulnerable to security threats such as skimming, phishing, and identity theft. This project proposes an Iris Recognition System for ATM Transactions to enhance security and provide a PIN-less, biometric-based authentication mechanism.

Iris recognition, being one of the most reliable biometric identification techniques due to its unique and stable patterns, ensures only authorized users can access their bank accounts. The system consists of two major components: User Enrollment and Authentication. During enrollment, a user’s iris is scanned and stored in a secure database using advanced image processing and machine learning techniques. During authentication, the ATM captures a live iris image and matches it with stored patterns using deep learning algorithms. If the authentication is successful, users can perform banking transactions such as cash withdrawals, deposits, and balance inquiries. The system also integrates security features like multi-factor authentication, fraud detection alerts, and AES-encrypted data transmission to prevent unauthorized access.

Keywords — Iris Recognition,  Iris Code, Iris matching, ATM Security, Customer Identity Verification, Secure Banking, Voice command.