Advances in AI for Financial, Cyber, and Healthcare Analytics: A Multidisciplinary Approach

Channel Response Measurements and Analysis of the Human Body for Biometric Resolutions

Author(s): Mahesh K. Singh*, B. S. Kiruthika Devi, M. S. Priya, V. Satyanarayana and Sanjeev Kumar

Pp: 94-105 (12)

DOI: 10.2174/9798898810542125010010

* (Excluding Mailing and Handling)

Abstract

The infrastructure and technologies of computer security have undergone several improvements and modifications. There is a growing trend toward building an identity based on a combination of three factors: what you know, what you have, and who you are in the present (biometrics). Knowledge-based and token-based authentication systems have been deemed inadequate; however, new technology from the East has overcome these issues (biometrics). There is a chance that you will lose access to your resources if you forget your password. Biometrics is the science of identifying a person without disclosing private information. Biometrics is an authentication mechanism that uses a person's unique biological characteristics. This article examines the history and evolution of the many biometric identification modalities and the distinguishing characteristics that each of them possesses. The ability to recognize faces is one of the most fundamental ways in which humans have linked as individuals. Facial recognition is a sort of visual processing that works with human data. As there were no mirrors available to ancient humans, facial descriptions were typically established through the gaze of another person or, at best, through the description of the person's reflection in clear water. This was the normal practice for an extended period of time.


Keywords: Biometrics, Channel response, Distinctiveness, Minutiae features, Verification.

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