MULTISPECTRAL DORSAL HAND VEIN RECOGNITION BASED ON LOCAL LINE BINARY PATTERN

Authors

  • 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

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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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