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Article Details

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.

A Comprehensive Overview on Biometric Authentication Systems using Artificial Intelligence Techniques

Author 1: Shoroog Albalawi
Author 2: Lama Alshahrani
Author 3: Nouf Albalawi
Author 4: Reem Kilabi
Author 5: Aaeshah Alhakamy

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130491

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 4, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Biometric authentication is becoming more preva-lent as it allows consumers to authenticate themselves without entering a physical address or a personal identification number. Thus, a simple finger gesture or a glance at a camera can still prove one’s identity. In this review, we explain in detail how the concept of authentication and the various types of biometric techniques is used for user identification. Then, we discuss the various ways these techniques can be combined to create a truly multimodal authentication system. For a more organized approach, our overview is classified into two main categories based on human biometric traits. First, the physiolog-ical traits include fingerprint, facial, iris/retina, hand, and finger-vein. Second, the behavioral traits includes voice, signature, and keystroke recognition systems. Finally, we offer a comprehensive comparison of selected methods and techniques and focus on three criteria: algorithms, merits, and drawbacks. Based on this comparison, we provide insight into our future research in iris recognition, by which we combine several artificial intelligence algorithms to develop our system.

Keywords: Biometric authentication; physiological traits; be-havioral traits; facial recognition; iris recognition; voice recogni-tion; signature

Shoroog Albalawi, Lama Alshahrani, Nouf Albalawi, Reem Kilabi and Aaeshah Alhakamy, “A Comprehensive Overview on Biometric Authentication Systems using Artificial Intelligence Techniques” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130491

@article{Albalawi2022,
title = {A Comprehensive Overview on Biometric Authentication Systems using Artificial Intelligence Techniques},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130491},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130491},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Shoroog Albalawi and Lama Alshahrani and Nouf Albalawi and Reem Kilabi and Aaeshah Alhakamy}
}


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