Face Recognition Based Bank Transaction Authorization System – Secure Banking with AI

Face Recognition Based Bank Transaction Authorization System

Project Information

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Project Summary

This Face Recognition-Based Bank Transaction System is a Python project made to make online banking more secure. It uses face recognition to check if the person doing the transaction is real and not someone else trying to access the account.The app is made with a simple GUI using Tkinter, and it also includes basic fraud detection to stop fake activities. It’s a good project to learn how facial recognition and security can be used together in real-life banking systems.

 Technologies Used

• Language: Python
• Recommended Python Version: 3.8+
• Libraries: OpenCV, scikit-learn, imutils, pandas, PIL
• Database: SQLite3
• IDE: VS Code / PyCharm

Available Features

The system comes packed with smart, AI-enabled features built for secure banking:

• Facial Recognition Login
• Real-Time Face Detection for Authentication
• Secure Withdrawal Authorization
• New User Enrollment with Face and Password
• Adaptive Learning Models
• Three-Tier Verification Failure Lockout
• Account Data Loading and Management
• Face-Based Access to Banking Services

 Professional UI Highlights

• User-centered design with a sleek modern interface
• Easy-to-navigate pages for transaction and enrollment
• Clear instructions and error handling for professional experience
• Responsive buttons and interactive panels using Tkinter

Security Features

• Multi-Factor Authentication: Combines facial recognition with password entry.
• Fail-Safe Verification: Three attempts to match facial data; unauthorized attempts are blocked.
• Encrypted Local Storage: Data stored securely using SQLite3.
• Data Privacy Focus: No external data transfer; all authentication runs locally.