Biometric Authentication System Using Palm Vein Features

Authors

  • Jeyakalyani A Computer and Information Science, Annamalai University, Chidambaram, India
  • Suguna N Computer and Information Science, Annamalai University, Chidambaram, India

DOI:

https://doi.org/10.26438/ijcse/v6i8.563566

Keywords:

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

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

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.

[5] T.Y, Zhang, C.Y.Suen, “A fast parallel Algorithm for Thinning Digital Patterns”. Communications of the ACM 27(3). March 1984.

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Published

2025-11-15
CITATION
DOI: 10.26438/ijcse/v6i8.563566
Published: 2025-11-15

How to Cite

[1]
A. Jeyakalyani and N. Suguna, “Biometric Authentication System Using Palm Vein Features”, Int. J. Comp. Sci. Eng., vol. 6, no. 8, pp. 563–566, Nov. 2025.

Issue

Vol. 6 No. 8 (2018): IJCSE August Edition

Section

Research Article

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