Contactless Biometric Based on Palm Vein Recognition Using Wavelet and Local Line Binary Patterns

Contactless Biometric Based on Palm Vein Recognition Using Wavelet and Local Line Binary Patterns

contactless biometrics; fuzzy K-Nearest neighbor; local line binary patterns; palm vein; wavelet

Palm vein recognition has received much attention due to its advantages compared to other biometrics. Because it is
contactless, this biometric system does not require physical contact between the user and the sensor device, thus providing
several advantages in terms of comfort during acquisition and being more hygienic. In the palm vein recognition system, the
palm vein pattern can be considered as a texture feature. Therefore, this study proposes a contactless biometric system based
on palm vein recognition using the Local Line Binary Pattern method for extracting texture features of palm vein images
resulting from the decomposition of 2D Wavelet Transformation, to produce a texture descriptor that is small and compatible
with the texture characteristics of thin veins. The proposed texture feature extraction method has been tested using the Fuzzy
k-NN classification method on 600 palm images with a CRR accuracy of 94.0% with a computation time of 0.057 seconds.

Jayanti Yusmah Sari, Suharsono Bantun

http://jurnal.iaii.or.id

Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association

December 2023

Sri Wahyuni

ISSN Media Electronic: 2580-0760

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