Finger Vein Recognition Using Local Line Binary Pattern

  • Bakhtiar Affendi Rosdi
    Intelligent Biometric Group, School of Electrical & Electronic Engineering, USM Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Perai Selatan, Pulau Pinang, Malaysia
  • Chai Wuh Shing
    Intelligent Biometric Group, School of Electrical & Electronic Engineering, USM Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Perai Selatan, Pulau Pinang, Malaysia
  • Shahrel Azmin Suandi
    Intelligent Biometric Group, School of Electrical & Electronic Engineering, USM Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Seberang Perai Selatan, Pulau Pinang, Malaysia

抄録

<jats:p>In this paper, a personal verification method using finger vein is presented. Finger vein can be considered more secured compared to other hands based biometric traits such as fingerprint and palm print because the features are inside the human body. In the proposed method, a new texture descriptor called local line binary pattern (LLBP) is utilized as feature extraction technique. The neighbourhood shape in LLBP is a straight line, unlike in local binary pattern (LBP) which is a square shape. Experimental results show that the proposed method using LLBP has better performance than the previous methods using LBP and local derivative pattern (LDP).</jats:p>

収録刊行物

  • Sensors

    Sensors 11 (12), 11357-11371, 2011-11-30

    MDPI AG

被引用文献 (1)*注記

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ