Fingerprint Bio-metric: Confronting Challenges, Embracing Evolu- tion, and Extending Utility - A Review

Abstract

As documented in recent research, this review offers a thorough examination of the intricate subject of fingerprint authentication, including a wide range of issues and applications. Addressing problems like non-linear deformations and enhancing picture quality, which are frequently reduced by sophisticated improvement and alignment techniques are important components of fingerprint image authentication. Countering security concerns such as spoofing is a major focus of Automated Fingerprint Identification Systems and necessitates the use of sophisticated cryptographic techniques and liveness detection. In order to accomplish speedier identification processes, the paper emphasizes the advancements made in fingerprint indexing and retrieval, with a focus on deep learning technologies and minutiae-based methodologies. Furthermore, fingerprint authentication is used for a variety of age groups, including neonates, where it is essential for identification verification and the management of medical records. The paper also highlights the wider uses of fingerprint technology, such as improved crime detection skills, insights into age-related features, and contributions to medical diagnostics. This review provides a thorough overview of the latest developments and potential future directions in fingerprint authentication by combining state-of-the-art methodologies and analysing technical details, implementation challenges, and security issues. This captures the dynamic and important role of this biometric technology.