Discriminant analysis for recognition of human face images

Kamran Etemad, Rama Chellappa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper the discriminatory power of various human facial features is studied and a new scheme for Automatic Face Recognition (AFR) is proposed. Using Linear Discriminant Analysis (LDA) of different aspects of human faces in spatial domain, we first evaluate the significance of visual information in different parts/features of the face for identifying the human subject. The LDA of faces also provides us with a small set of features that carry the most relevant information for classification purposes. The features are obtained through eigenvector analysis of scatter matrices with the objective of maximizing between-class and minimizing within-class variations. The result is an efficient projection-based feature extraction and classification scheme for AFR. Soft decisions made based on each of the projections are combined, using probabilistic or evidential approaches to multisource data analysis. For medium-sized databases of human faces, good classification accuracy is achieved using very low-dimensional feature vectors.

Original languageEnglish (US)
Title of host publicationAudio- and Video-based Biometric Person Authentication - 1st International Conference, AVBPA 1997, Proceedings
EditorsJosef Bigun, Gerard Chollet, Gunilla Borgefors
PublisherSpringer Verlag
Pages125-142
Number of pages18
ISBN (Print)3540626603, 9783540626602
DOIs
StatePublished - 1997
Externally publishedYes
Event1st International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 1997 - Crans-Montana, Switzerland
Duration: Mar 12 1997Mar 14 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1206
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA 1997
Country/TerritorySwitzerland
CityCrans-Montana
Period3/12/973/14/97

Keywords

  • Discriminant eigenpictures
  • Evidential reasoning
  • Face recognition
  • Multi-source soft decision integration
  • Wavelet packets

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Discriminant analysis for recognition of human face images'. Together they form a unique fingerprint.

Cite this