This paper is published in Volume-5, Issue-1, 2019
Area
Internet Of Things (IoT)
Author
Soonrutha Karothu
Co-authors
Vineeta Tiwari, Siddhant Verma, M. Sugadev
Org/Univ
Satyabhama University, Chennai, Tamil Nadu, India
Pub. Date
04 February, 2019
Paper ID
V5I1-1257
Publisher
Keywords
Fingerprint recognition, Internet of Things, Optical Coherence Tomography

Citationsacebook

IEEE
Soonrutha Karothu, Vineeta Tiwari, Siddhant Verma, M. Sugadev. Biometric methods to speed up fingerprint processing using OCT: A survey, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Soonrutha Karothu, Vineeta Tiwari, Siddhant Verma, M. Sugadev (2019). Biometric methods to speed up fingerprint processing using OCT: A survey. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.

MLA
Soonrutha Karothu, Vineeta Tiwari, Siddhant Verma, M. Sugadev. "Biometric methods to speed up fingerprint processing using OCT: A survey." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.

Abstract

Fingerprint recognition is a crucial security technique with a steady growing usage for the identification and verification of people. However, current fingerprint acquisition systems have bound disadvantages, that embody the necessities of physical contact with the acquisition device, and also the presence of undesirable artifacts, like scars, on the surface of the fingerprint. There are various sectors or domains where Biometric authentication plays a vital role, these areas include Internet of Things (IoT), Smartphones, Healthcare, and many more. This paper evaluates the accuracy of a whole framework for the capturing of uninjured, undistorted fingerprints from underneath the skin's surface using Optical Coherence Tomography (OCT), the extraction and conversion of the submerged knowledge into a usable fingerprint and also the matching of such fingerprints. The main objective of this paper is to provide the study of the biometric algorithms, OCT based methods, and their relative comparisons.
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