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Iris Recognition Using 3D Co-occurrence Matrix

  • Wen-Shiung Chen
  • Ren-Hung Huang
  • Lili Hsieh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)

Abstract

This paper presents a biometric recognition based on the iris of a human eye using gray-level co-occurrence matrix (GLCM). A new approach of GLCM, called 3D-GLCM, which is expanded from the original 2D-GLCM is proposed and used to extract the iris features. The experimental results show that the proposed approach gains an encouraging performance on the UBIRIS iris database. The recognition rate up to 99.65% can be achieved.

Keywords

Personal Authentication Biometrics Iris Recognition Co-occurrence Matrix 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Wen-Shiung Chen
    • 1
  • Ren-Hung Huang
    • 1
  • Lili Hsieh
    • 2
  1. 1.VIP-CCLab., Dept. of Electrical EngineeringNational Chi Nan UniversityTaiwan
  2. 2.Dept. of Information ManagementHsiuping Institute of TechnologyTaiwan

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