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

Based Bank Transaction Authorization System

📊 Project Information

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💡 Project Summary

This Face Recognition-Based Bank Transaction Authorization System is a professional-grade web application developed to address the increasing need for secure banking transactions in the digital age. The system leverages facial recognition technology and real-time fraud detection to ensure high-level authentication and protection against unauthorized access.

Developed using Python with a user-friendly Tkinter-based GUI, the project combines biometric security with intelligent pattern analysis to validate transactions, significantly reducing the risk of financial fraud.

🧠 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.