Affiliation:
1. Geico, USA
2. Shri Vishnu Engineering College for Women, India
3. Georgia Institute of Technology, USA
4. Dhaanish Ahmed College of Engineering, India
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.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献