Biometric-Based ATM System: Computer Engineering Guide
1. Introduction
Overview of the project.
Objectives of the system: Enhance ATM security using biometric authentication and improve user experience.
Scope of the system: Integrate biometrics into ATM systems for secure and seamless access.
2. Requirements Analysis
Functional Requirements:
· - User authentication using biometric data (e.g., fingerprint, facial recognition).
· - Transaction processing (withdrawals, deposits, balance inquiries).
· - Secure storage of biometric templates.
· - Alert generation for failed authentication attempts.
Non-Functional Requirements:
· - High accuracy and low latency in biometric recognition.
· - Scalability to handle large user databases.
· - Robustness against biometric spoofing attacks.
3. System Design
Architecture:
· - Modular architecture with components for biometric recognition, transaction processing, and user management.
· - Centralized or distributed database for user and transaction records.
Data Flow Diagrams (DFDs):
· - Level 0: Overview of user interaction with the ATM system.
· - Level 1: Modules such as Biometric Capture, Authentication, and Transaction Execution.
Database Design:
· - Tables: User Data, Biometric Templates, Transaction Logs.
4. Technology Stack
Hardware:
· - Biometric sensors: Fingerprint scanners or facial recognition cameras.
· - ATM machine components: Cash dispenser, keypad, and screen.
Software:
· - Biometric SDKs: OpenCV, Neurotechnology, or Cognitec.
· - Backend: Java (Spring Boot), Python (Flask/Django), or C++ for embedded systems.
· - Database: MySQL, MongoDB, or PostgreSQL for user and transaction data.
Communication Protocols:
· - Secure communication protocols like HTTPS or TLS.
5. Implementation
Hardware Integration:
· - Install and configure biometric sensors on ATM machines.
· - Connect sensors to the ATM controller board.
Software Development:
· - Develop modules for biometric enrollment and verification.
· - Implement transaction processing logic and database interactions.
· - Create an admin interface for user management and monitoring.
Integration:
· - Combine biometric authentication with existing ATM operations.
· - Implement fail-safe mechanisms for fallback authentication methods.
6. Security
Encrypt biometric data during storage and transmission.
Implement multi-factor authentication (e.g., biometrics and PIN).
Regularly update software to address vulnerabilities and improve security.
Use liveness detection to prevent spoofing attacks.
7. Testing
Unit Testing: Validate individual modules like biometric recognition and transaction processing.
Integration Testing: Ensure smooth interaction between hardware and software components.
System Testing: Test the entire system under real-world ATM scenarios.
Performance Testing: Evaluate the speed and accuracy of biometric recognition.
8. Deployment
Install updated ATM software and hardware at target locations.
Train staff and provide user education on the new biometric system.
Monitor system performance and address issues in real-time.
9. Maintenance and Updates
Regularly calibrate biometric sensors for accuracy.
Update software for enhanced functionality and security.
Collect user feedback for continuous improvement.
10. Appendix
Glossary of terms.
References and additional resources.