Palm vein recognition by using modified of local binary pattern (LBP) for extraction feature

Dini Fronitasari, Dadang Gunawan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Palm vein recognition is developing biometric identification technology. It can be used in physical security and information security for selective control of access to a place or resource. A palm vein recognition has been gaining research interest from last few years because it use physiological intrinsic that uniqueness, stability, not easily spoofed and damaged and have live body identification. There are consists of the following steps: Image acquisition from the database and Pre-Processing, Finding of Region of interest, Extraction of Palm Vein pattern Features and Matching. Prior to the palm vein recognition, vein extraction is generally required for a better recognition. In this paper we propose a vein extraction method modified of the Local Binary Pattern (LBP) combining with Probabilistic Neural Network (PNN) for matching. The aim of the proposed system is to improve the accuracy of palm vein recognition. Simulation result show that the proposed method has a higher recognition rate for palm vein recognition comparing to the other basic Local Binary Pattern.

Original languageEnglish
Title of host publicationQiR 2017 - 2017 15th International Conference on Quality in Research (QiR)
Subtitle of host publicationInternational Symposium on Electrical and Computer Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages18-22
Number of pages5
ISBN (Electronic)9781509063970
DOIs
Publication statusPublished - 5 Dec 2017
Event15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017 - Nusa Dua, Bali, Indonesia
Duration: 24 Jul 201727 Jul 2017

Publication series

NameQiR 2017 - 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering
Volume2017-December

Conference

Conference15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017
CountryIndonesia
CityNusa Dua, Bali
Period24/07/1727/07/17

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Keywords

  • Biometric
  • diagonal cross local binary pattern (DCLBP)
  • local binary pattern (LBP)
  • palm vein
  • probabilistic neural Network (PNN)

Cite this

Fronitasari, D., & Gunawan, D. (2017). Palm vein recognition by using modified of local binary pattern (LBP) for extraction feature. In QiR 2017 - 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering (pp. 18-22). (QiR 2017 - 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QIR.2017.8168444