Selection of discriminative sub-regions for palmprint recognition

  • Authors:
  • Mohamed Hammami;Salma Ben Jemaa;Hanene Ben-Abdallah

  • Affiliations:
  • MIRACL-FS, Sfax University, Sfax, Tunisia 3018;MIRACL-FSEG, Sfax University, Sfax, Tunisia 3018;MIRACL-FSEG, Sfax University, Sfax, Tunisia 3018

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2014

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Abstract

Palmprint recognition, as a reliable personal identification method, has received an increasing attention and became an area of intense research during recent years. In this paper, we propose a generic biometric system that can be adopted with or without contact depending on the capturing system to ensure public security based on palmprint identification. This system is based on a new global approach that focuses only on areas of the image having the most discriminating features for recognition. The presented new approach was evaluated experimentally on two large databases, namely,"CASIA-Palmprint" and "PolyU-Palmprint"; the results of this evaluation show promising results and demonstrate the effectiveness of the proposed approach.