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DOI: 10.14569/IJACSA.2013.040612
PDF

Proposed Multi-Modal Palm Veins-Face Biometric Authentication

Author 1: S.F. Bahgat
Author 2: S. Ghoniemy
Author 3: M. Alotaibi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 6, 2013.

  • Abstract and Keywords
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Abstract: Biometric authentication technology identifies people by their unique biological information. An account holder’s body characteristics or behaviors are registered in a database and then compared with others who may try to access that account to see if the attempt is legitimate. Since veins are internal to the human body, its information is hard to duplicate. Compared with a finger or the back of a hand, a palm has a broader and more complicated vascular pattern and thus contains a wealth of differentiating features for personal identification. However, a single biometric is not sufficient to meet the variety of requirements, including matching performance imposed by several large-scale authentication systems. Multi-modal biometric systems seek to alleviate some of the drawbacks encountered by uni-modal biometric systems by consolidating the evidence presented by multiple biometric traits/sources. This paper proposes a multi-modal authentication technique based on Palm Veins as a personal identifying factor, augmented by face features to increase the accuracy of security recognition. The obtained results point at an increased authentication accuracy.

Keywords: Biometric authentication; Face Recognition; Feature Fusion; Palm veins; Statistical features.

S.F. Bahgat, S. Ghoniemy and M. Alotaibi, “Proposed Multi-Modal Palm Veins-Face Biometric Authentication” International Journal of Advanced Computer Science and Applications(IJACSA), 4(6), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040612

@article{Bahgat2013,
title = {Proposed Multi-Modal Palm Veins-Face Biometric Authentication},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040612},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040612},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {6},
author = {S.F. Bahgat and S. Ghoniemy and M. Alotaibi}
}



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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