Face recognition using a hybrid supervised/unsupervised neural network

Nathan Intrator*, Daniel Reisfeld, Yehezkel Yeshurun

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A system for automatic face recognition is presented. It consists of several steps. Automatic detection of the eyes and mouth is followed by a spatial normalization of the images. The classification of the normalized images is carried out by a hybrid (supervised and unsupervised) Neural Network. Two methods for reducing the overfitting - a common problem in high-dimensional classification schemes - are presented, and the superiority of their combination is demonstrated.

Original languageEnglish
Pages (from-to)67-76
Number of pages10
JournalPattern Recognition Letters
Volume17
Issue number1
DOIs
StatePublished - 10 Jan 1996

Keywords

  • Face recognition
  • Interest points
  • Neural networks
  • Symmetry operator

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