Palmprint recognition using polynomial neural network

  • Authors:
  • LinLin Huang;Na Li

  • Affiliations:
  • School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China;School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China

  • Venue:
  • ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
  • Year:
  • 2010

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Abstract

In this paper, we propose a robust palmprint recognition approach Firstly, a salient-point based method is applied to segment as well as align the region of interest (ROI) from the palmprint image Then, a subspace projection technique, namely, independent component analysis (ICA) is performed on the ROI to extract features Finally, a polynomial neural network (PNN) is used to make classification on reduced feature subspace The effectiveness of the proposed method has been demonstrated in experiments.