A Finger-vein Biometric System Based on Textural Features

  • Enrique V. Carrera
  • Santiago Izurieta
  • Ricardo Carrera
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 721)

Abstract

Biometric systems are being widely used today for automated authentication purposes. In particular, vascular biometrics or vein recognition is receiving a large amount of attention because of its several advantages related to security and convenience. However, images containing vein patterns normally include more information than just those structural arrangements. Thus, we propose a finger-vein biometric system based exclusively on textural features to evaluate the usefulness of the remaining information around vein patters. Textural features are obtained through gray-level co-occurrence matrices from the wavelet detail coefficients belonging to finger-vein images. The evaluation of the proposed biometric system is based on a standardized finger-vein database and its results show favorable improvements on the finger-vein authentication accuracy when textural features are incorporated in the biometric process.

Keywords

Finger-vein biometry Digital image processing Machine learning algorithms 

Notes

Acknowledgment

This work was partially supported by the Universidad de las Fuerzas Armadas ESPE under Research Grant 2015-PIC-004.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Enrique V. Carrera
    • 1
  • Santiago Izurieta
    • 1
  • Ricardo Carrera
    • 2
  1. 1.Departamento de Eléctrica y ElectrónicaUniversidad de las Fuerzas Armadas ESPESangolquíEcuador
  2. 2.Colegio de Ciencias e IngenieríaUniversidad San Francisco de QuitoCumbayáEcuador

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