International Journal on Science and Technology

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Enhancing Biometric Security with Artificial Intelligence: A Cutting-Edge Approach

Author(s) Mr. Chaitanya Jain, Mr. Hardik Bhawani, Mr. Aryan Saxena
Country India
Abstract Biometric security has emerged as a critical component in safeguarding digital assets, physical spaces, and personal information. This research paper provides a comprehensive review of the intersection between biometrics and artificial intelligence (AI), aiming to explore the latest advancements, challenges, and prospects in this dynamic field. The paper begins by introducing the fundamental concepts of biometrics and AI, highlighting their symbiotic relationship in enhancing security protocols. It delves into the various biometric modalities, including facial recognition, fingerprinting, iris scanning, vital sign, psychological and voice recognition, and examines how AI techniques have transformed the
accuracy and robustness of these methods. Special attention is given to the developments in deep learning algorithms, neural networks, and convolutional neural networks (CNNs), which have revolutionized biometric authentication by enabling feature extraction, pattern recognition, and anomaly detection with unprecedented precision.
Keywords Biometric Security, Artificial Intelligence, Deep Learning, Machine Learning, Face Recognition, Fingerprint Recognition, Iris Recognition, Behavioral Biometrics, Biometric Authentication, AI-Powered Biometrics, Multi-Modal Biometrics, Spoof Detection, Liveness Detection, Neural Networks, Feature Extraction, Privacy-Preserving Biometrics, Biometric Encryption, Secure Authentication, AI-Based Identity Verification, Biometric Data Protection.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-02-11
Cite This Enhancing Biometric Security with Artificial Intelligence: A Cutting-Edge Approach - Mr. Chaitanya Jain, Mr. Hardik Bhawani, Mr. Aryan Saxena - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.1771
DOI https://doi.org/10.71097/IJSAT.v16.i1.1771
Short DOI https://doi.org/g85dmz
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