MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN

  • Fransisca J Pontoh Hasanuddin University
  • Jayanti Yusmah Sari Halu Oleo University http://orcid.org/0000-0003-4872-4705
  • Amil A Ilham Hasanuddin University
  • Ingrid Nurtanio Hasanuddin University
DOI: https://doi.org/10.21609/jiki.v11i2.576
Keywords: biometrics, dorsal hand vein, fuzzy k-NN, local line binary pattern, vein recognition

Abstract

Nowadays, dorsal hand vein recognition is one of the most recent multispectral biometrics technologies used for the person identification/authentication. Looking into another biometrics system, dorsal hand vein biometrics system has been popular because of the privilege: false duplicity, hygienic, static, and convenient. The most challenging phase in a biometric system is feature extraction phase. In this research, feature extraction method called Local Line Binary Pattern (LLBP) has been explored and implemented. We have used this method to our 300 dorsal hand vein images obtained from 50 persons using a low-cost infrared webcam. In recognition step, the adaptation fuzzy k-NN classifier is to evaluate the efficiency of the proposed approach is feasible and effective for dorsal hand vein recognition. The experimental result showed that LLBP method is reliable for feature extraction on dorsal hand vein recognition with a recognition accuracy up to 98%.

Author Biographies

Fransisca J Pontoh, Hasanuddin University
Department of Electrical Engineering
Jayanti Yusmah Sari, Halu Oleo University
Department of Informatics Engineering
Amil A Ilham, Hasanuddin University
Department of Electrical Engineering
Ingrid Nurtanio, Hasanuddin University
Department of Electrical Engineering
Published
2018-06-29
How to Cite
Pontoh, F. J., Sari, J. Y., Ilham, A. A., & Nurtanio, I. (2018). MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN. Jurnal Ilmu Komputer Dan Informasi, 11(2), 95-102. https://doi.org/10.21609/jiki.v11i2.576
Issue
Vol. 11 No. 2 (2018): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Section
Articles

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