thesis

FINGERPRINT TECHNOLOGY 1

FINGERPRINT TECHNOLOGY 4

Ahmed, Tauheed, and Monalisa Sarma. "An advanced fingerprint matching using minutiae-based indirect local features." Multimedia Tools and Applications 77.15 (2018): 19931-19950.

When a person's finger comes into contact with a surface, friction ridges form. Recovering partial fingerprints from a crime scene is a technique used in forensic science. Fingerprints on a surface can be caused by a combination of moisture and grease on a person's fingers. The fingerprints of a human are extremely detailed, hard to modify, and one-of-a-kind. In the long run, the permanence of these fingerprints provides an individual with a sense of identity. Authorities and police can utilize this technology to identify individuals who are hiding their identity, as well as those who have died or become incompetent and are unable to identify themselves, using it. The minutiae-based algorithm is the mathematical concept I'll be discussing in this technique.

Biometric fingerprinting is one of the most eagerly awaited developments since it draws on a uniquely human feature of the human body. Due to its long-term consistency and uniqueness, fingerprint technology was the best option for me, as the world is moving toward biometric identification. Because of its accuracy, scalability, and security, this system merits further study. Fingerprint technology is a safe authentication method that is nearly impossible to replicate or reproduce, compared to password-based security solutions.

 Fingerprints cannot be shared, therefore colleagues signing on behalf of others will be unable to employ the password sharing strategy. By tracking personnel and enhancing security in the event of sensitive data theft, this will result in more accurate data. In addition, the use of technology fosters a sense of responsibility in the workplace. In the event of an incident, the fingerprint is evidence that a certain employee was on the scene.

Cheap, safe, and more accurate: these are the advantages of fingerprint technology. Because each person on the earth has their own unique fingerprints, this is the reason why. Despite their similar names, no two sets of fingerprints are exactly the same. The scanning of a person's fingerprint is accomplished through the use of fingerprint scanning. (Ahmed, 2018). After filtering, the fingerprint's unique properties are retained in the form of a mathematical representation or an encrypted biometric that is far removed from the original raw image.

References

Ahmed, Tauheed, and Monalisa Sarma. "An advanced fingerprint matching using minutiae-based indirect local features." Multimedia Tools and Applications 77.15 (2018): 19931-19950.