Palmprint recognition using polynomial neural network

  • Lin Lin Huang*
  • , Na Li
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings
Pages208-213
Number of pages6
EditionPART 2
DOIs
StatePublished - 2010
Event7th International Symposium on Neural Networks, ISNN 2010 - Shanghai, China
Duration: 6 Jun 20109 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6064 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Symposium on Neural Networks, ISNN 2010
Country/TerritoryChina
CityShanghai
Period6/06/109/06/10

Keywords

  • Palmprint
  • neural network
  • polynomial
  • recognition

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