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Biometric Authentication System Using Palm Vein Features

A. Jeyakalyani1 , N. Suguna2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-8 , Page no. 563-566, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i8.563566

Online published on Aug 31, 2018

Copyright © A. Jeyakalyani, N. Suguna . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Jeyakalyani, N. Suguna, “Biometric Authentication System Using Palm Vein Features,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.563-566, 2018.

MLA Style Citation: A. Jeyakalyani, N. Suguna "Biometric Authentication System Using Palm Vein Features." International Journal of Computer Sciences and Engineering 6.8 (2018): 563-566.

APA Style Citation: A. Jeyakalyani, N. Suguna, (2018). Biometric Authentication System Using Palm Vein Features. International Journal of Computer Sciences and Engineering, 6(8), 563-566.

BibTex Style Citation:
@article{Jeyakalyani_2018,
author = {A. Jeyakalyani, N. Suguna},
title = {Biometric Authentication System Using Palm Vein Features},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {563-566},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2732},
doi = {https://doi.org/10.26438/ijcse/v6i8.563566}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.563566}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2732
TI - Biometric Authentication System Using Palm Vein Features
T2 - International Journal of Computer Sciences and Engineering
AU - A. Jeyakalyani, N. Suguna
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 563-566
IS - 8
VL - 6
SN - 2347-2693
ER -

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Abstract

Textual passwords are not uncommon, which are used for authentication as account based passwords. However these passwords are facing risk in the form of phishing attack, burette force attack, social engineering attack and social surfing as well. The thing consisting of authentication, verification and recognition has been known as biometrics, which is being used for human recognition. Biometric passwords replace the techniques of textual passwords and also function as alternatives. Existence of biometric systems is commonly found by using fingerprint, face, iris, etc., on the other hand its risk to duplicating a fake (For e.g.:- “fingerprint gummy finger”). Palm vein authentication is yet another modern biometric technique, which employs the vein pattern in the human palm in order to verify the person’s identity. Palm vein on classical biometric (e.g. fingerprint, iris, face). Which have merits, are a low risk of falsification, difficulty of duplicated and stability. The recent and current method which has been proposed to detect a hand vein by using Near Infrared (NIR) Light method. The Captured vein image is used in an infrared illuminator and Radon feature techniques is used to extract the feature of hand vein and feature matching algorithm is used. This is the system implemented using MATLAB.

Key-Words / Index Term

Infrared (IR), Near Infrared (NIR), Region of Interest (ROI), Adaptive Histogram Equalization (AHE), Feature extraction, Feature Matching

References

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[3] Wang Lingyu, Graham Leedham, “Near- and- Far- Infrared Imaging for Vein Pattern Biometrics”, Proceedings of the IEEE International Conference on Video and Signal Based Surveillance, 2006.
[4] Shi Zhao, Yiding Wang and Yunhong Wang, “Extracting Hand Vein Patterns from Low-Quality Images: A New Biometric technique Using Low-Cost Devices”, IEEE, 4th International Conference on Image and Graphics, 2007.
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