Authors: Sajjad Bhuiyan
Published on: February 01, 2024
Impact Score: 7.2
Arxiv code: Arxiv:2404.16840
Summary
- What is new: Exploration of biometric techniques based on neural networks for improved accuracy in authentication.
- Why this is important: Current biometric authentication methods are not foolproof and suffer from accuracy and reliability issues.
- What the research proposes: Using Artificial Neural Networks to classify biometric patterns more accurately, enhancing security and reliability.
- Results: The application of neural networks with biometric features significantly improves accuracy and security.
Technical Details
Technological frameworks used: Biometric authentication frameworks integrating neural networks
Models used: Artificial Neural Networks
Data used: Biometric data (fingerprints, iris/retina patterns, facial recognition, hand shapes, palm prints, voice recognition)
Potential Impact
Security solutions, authentication services, smart device manufacturers, financial services, access control systems
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