https://github.com/tansexe/plutus

Pay at a Glance!
https://github.com/tansexe/plutus

backend frontend ml

Last synced: 11 months ago
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Pay at a Glance!

• Host: GitHub
• URL: https://github.com/tansexe/plutus
• Owner: tansexe
• License: mit
• Created: 2025-04-02T11:37:15.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-25T14:39:09.000Z (about 1 year ago)
• Last Synced: 2025-05-05T19:46:41.044Z (about 1 year ago)
• Topics: backend, frontend, ml
• Language: JavaScript
• Homepage: https://plutus-liart.vercel.app
• Size: 7.47 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Face Recognition-Based Payment Gateway

## Background and Problem Statement

With the rapid adoption of digital payments, security threats and user convenience have become key concerns. Traditional authentication methods such as OTP-based verifications, PINs, and passwords are widely used, but they come with several limitations:

### Challenges with Existing Payment Methods:

-  Security Risks: PIN theft, card skimming, and phishing attacks make traditional methods vulnerable to fraud.

- User Convenience: Entering OTPs, remembering passwords, and relying on mobile networks for verification can be frustrating.

- Identity Theft: Stolen credentials can lead to unauthorized access and fraudulent transactions.

- Solution: Face Recognition as an Additional Security Layer

A face recognition-based payment authentication system adds an extra layer of security after users enter their card details in online payments or insert their card at ATMs. Instead of relying solely on PINs, OTPs, or passwords, facial recognition ensures that only the authorized cardholder can complete the transaction.

This approach maintains existing payment methods while making them more secure and seamless, reducing the risk of fraud without adding unnecessary complexity.

### Use Cases

#### ATM Withdrawals with Face Recognition Authentication

Traditionally, ATM transactions require users to insert a card and enter a PIN to proceed. However, PIN theft, skimming devices, and shoulder surfing attacks make ATMs a common target for fraudsters.

With face recognition-based authentication, ATM withdrawals become significantly more secure by requiring a facial scan in addition to the card and PIN.

#### How It Works:

- The user inserts their card into the ATM.

- They enter their PIN as usual.

- The system prompts the user to scan their face for authentication.

- If the facial recognition matches the registered user, the withdrawal is approved.

- If the face does not match, the transaction is blocked, preventing unauthorized access.

#### Advantages:

- Prevents Fraud: Even if a PIN is stolen, transactions cannot proceed without face verification.

- Stronger Authentication: Adds an extra layer of security without replacing the familiar card+PIN process.

- Faster and Secure Transactions: Reduces risks while keeping the withdrawal process seamless.

- Reduced ATM Fraud: Prevents unauthorized access in cases of lost or stolen cards.

#### Face Recognition for Online E-Commerce Payments

In e-commerce, users traditionally enter card details, CVV, and OTPs to authenticate payments. However, this process is prone to security risks such as phishing, SIM card swapping, and OTP interception.

Face recognition enhances security by requiring the user’s live facial authentication before completing high-value or sensitive transactions.

#### How It Works:

- The user enters their card details at checkout.

- Before proceeding, the system prompts them to scan their face using their smartphone or webcam.

- The facial scan is matched with the registered biometric data for verification.

- If the face matches, the transaction is approved instantly.

- If the face does not match, the payment is blocked, ensuring unauthorized users cannot proceed.

#### Advantages:

- Eliminates OTP Risks: Prevents unauthorized payments due to stolen or intercepted OTPs.

- User-Friendly Security: Adds an extra verification step without complicating the checkout process.

- Protection Against Fraud: Ensures only the genuine cardholder can complete a payment.

- Reduces Password Dependency: No need to rely solely on passwords or OTPs for authentication.

### Conclusion

By integrating face recognition authentication into ATM transactions and online payments, this system significantly enhances security without disrupting existing payment workflows. It acts as an additional safeguard, ensuring that even if card details or PINs are compromised, fraudulent transactions are blocked unless verified by the legitimate cardholder.

This approach makes digital payments safer, more user-friendly, and fraud-resistant, ensuring a secure future for financial transactions.