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Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis
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Author(s): Ramesh Chandra Aditya Komperla (Geico, USA), Kiran Sree Pokkuluri (Shri Vishnu Engineering College for Women, India), Varun Kumar Nomula (Georgia Institute of Technology, USA), G. Uma Gowri (Dhaanish Ahmed College of Engineering, India), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)and J. Rahila (Dhaanish Ahmed College of Engineering, India)
Copyright: 2024
Pages: 16
Source title:
Advancements in Clinical Medicine
Source Author(s)/Editor(s): P. Paramasivan (Dhaanish Ahmed College of Engineering, India), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India), Karthikeyan Chinnusamy (Veritas, USA), R. Regin (SRM Instıtute of Science and Technology, India)and Ferdin Joe John Joseph (Thai-Nichi Institute of Technology, Thailand)
DOI: 10.4018/979-8-3693-5946-4.ch001
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Abstract
This chapter explores the innovative integration of artificial intelligence (AI) in enhancing biometric analysis through X-ray and MRI imaging. The recent advancements in AI and machine learning have opened new avenues in medical imaging, providing more accurate, efficient, and detailed analyses. The authors investigate how AI algorithms, particularly deep learning, can significantly improve the interpretation of X-ray and MRI scans for biometric purposes. The study focuses on developing an AI framework capable of identifying unique biometric markers from these imaging modalities. This approach aims to offer a more secure and reliable method for identity verification and medical diagnostics. This methodology involves training AI models with extensive datasets of X-ray and MRI images, incorporating feature extraction and pattern recognition techniques. The results demonstrate a marked improvement in accuracy and speed over traditional biometric systems.
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