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DOI: 10.14569/IJACSA.2018.091145

The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review

Author 1: Inass Shahadha Hussein
Author 2: Shamsul Bin Sahibuddin
Author 3: Nilam Nur Amir Sjarif

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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 11, 2018.

  • Abstract and Keywords
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Abstract: Biometric system can be defined as the automated method of identifying or authenticating the identity of a living person based on physiological or behavioral traits. Palmprint biometric-based authentication has gained considerable attention in recent years. Globally, enterprises have been exploring biometric authorization for some time, for the purpose of security, payment processing, law enforcement CCTV systems, and even access to offices, buildings, and gyms via the entry doors. Palmprint biometric system can be divided into unimodal and multimodal. This paper will investigate the biometric system and provide a detailed overview of the palmprint technology with existing recognition approaches. Finally, we introduce a review of previous works based on a unimodal palmprint system using different databases.

Keywords: Biometric system; palmprint; palmprint features; unimodal

Inass Shahadha Hussein, Shamsul Bin Sahibuddin and Nilam Nur Amir Sjarif, “The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091145

@article{Hussein2018,
title = {The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091145},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091145},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {Inass Shahadha Hussein and Shamsul Bin Sahibuddin and Nilam Nur Amir Sjarif}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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