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Palm Vein Biometric Authentication Using Convolutional Neural Networks

  • Samer ChantafEmail author
  • Alaa HilalEmail author
  • Rola ElsalehEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 146)

Abstract

In this research, we present a new way of thinking using a Convolutional Neural Network (CNN) for palm-vein biometric authentication. In contrary to fingerprint and face, palm vein patterns are internal features which make them very hard to replicate. The objective of this research is to examine the possibility of a contactless authentication of individuals by imply a series of palm veins photographs taken by a camera in the near infrared. Biometric systems based on palm veins are considered very promising for high security environments. In mean time, deep learning techniques have assisted in image classification and tasks retrieval. The use of palm vein recognition through deep learning based methods and Convolutional Neural Network architectures (i.e., Inception V3 and SmallerVggNet) applications.

Keywords

Palm-vein Biometric authentication Convolutional neural network 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of TechnologyLebanese UniversitySaidaLebanon
  2. 2.Faculty of TechnologyLebanese UniversityAabeyLebanon

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