Authors:
S. Silvia Priscila, D. Femi, M. Sakthivanitha, Kawsher Rahman, Gnaneswari Gnanaguru
Addresses:
Department of Computer Science, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India. Department of Computer Science Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India. Department of Information Technology, Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu, India. Department of General Medicine, Beanibazar Cancer and General Hospital, Sylhet, Bangladesh. Department of Computer Applications, CMR Institute of Technology, Bengaluru, Karnataka, India.
Abstract:
In the area of biometric identification, the integration of AI techniques with X-ray and MRI data is heralding a new era of possibilities. This paper explores innovative AI approaches specifically designed for this purpose, highlighting their potential to deliver unparalleled levels of accuracy and security in biometric identification. The research presented herein not only offers a transformative shift in the way biometric data is analysed but also holds profound implications for both medical diagnostics and high-security sectors. Biometric identification is a crucial aspect of security and healthcare. This research explores the integration of AI techniques with X-ray and MRI data to revolutionise biometric identification. We introduce innovative approaches that leverage medical imaging data to achieve unprecedented levels of accuracy and security. The potential impact of this research is far-reaching. In the medical field, it can lead to more accurate patient identification and personalised treatments. In high-security sectors, it can enhance access control and identity verification. The fusion of AI and medical imaging data presents new opportunities for enhancing both healthcare and security systems. This paper highlights the transformative potential of integrating AI with X-ray and MRI data for biometric identification. The innovative approaches presented offer a glimpse into a future where biometric data analysis is more accurate, secure, and applicable in diverse domains, benefiting individuals and organisations alike.
Keywords: Biometric Identification; AI and X-Ray; Accuracy and Security; Medical and Transformative; Innovative Approaches; Organisations Alike; Diverse Domains.
Received: 15/03/2024, Revised: 02/05/2024, Accepted: 07/07/2024, Published: 01/03/2025
DOI: 10.64091/ATICL.2025.000091
AVE Trends in Intelligent Computer Letters, 2025 Vol. 1 No. 1 , Pages: 1-10