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Biometrics, rooted in the Greek terms "bios" (life) and "metrikos" (measure), represents a modern approach to identifying individuals based on their unique physical characteristics, such as fingerprints, facial features, and iris patterns. In today's increasingly digital landscape, traditional security methods like passwords and keys have become inadequate in safeguarding sensitive information. The rise of sophisticated cyberattacks and unauthorized access has highlighted the need for more advanced and secure authentication methods. This project aims to design and implement a fingerprint biometric system using robotics and FPGA technology. The system is intended to provide a more reliable and secure method of verifying identities by capturing and processing fingerprint images. It will extract minutiae points, the unique features within a fingerprint, to create a robust authentication mechanism. This approach promises to enhance security by offering an alternative to conventional methods that are often vulnerable to breaches. In developing this biometric system, the focus will be on ensuring that it can be effectively integrated into various applications where secure access control is crucial. By leveraging the unique and immutable nature of fingerprints, the system will reduce the risks associated with password reuse, theft, and unauthorized sharing. The inclusion of continuous authentication techniques will further strengthen security, ensuring that the user’s identity is verified throughout a session, not just at the initial login. Additionally, the project will incorporate version control mechanisms to track the development and deployment of the system, ensuring that any changes or updates can be easily managed and reviewed. This will help maintain the system's reliability and effectiveness over time, allowing it to adapt to evolving security challenges. Through this work, we aim to contribute to the broader adoption of biometric technologies in securing digital and physical environments, paving the way for more secure and seamless user experiences.
Idris et al. (Sun,) studied this question.