Face recognition based on ICA combined with FLD

Juneho Yi, Jongsun Kim, Jongmoo Choi, Junghyun Han, Eunseok Lee

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

14 Citations (Scopus)


Recently in face recognition, as opposed to our expectation, the performance of an ICA (Independent Component Analysis) method combined with LDA (Linear Discriminant Analysis) was reported as lower than an ICA only based method. This research points out that (ICA+LDA) methods have not got a fair comparison for evaluating its recognition performance. In order to incorporate class specific information into ICA, we have employed FLD (Fisher Linear Discriminant) and have proposed our (ICA+FLD) method. In the experimental results, we report that our (ICA+FLD) method has better performance than ICA only based methods as well as other representative methods such as Eigenface and Fisherface methods.

Original languageEnglish
Title of host publicationBiometric Authentication - International ECCV 2002 Workshop, Proceedings
EditorsMassimo Tistarelli, Josef Bigun, Anil K. Jain
PublisherSpringer Verlag
Number of pages9
ISBN (Print)3540437231, 9783540437239
Publication statusPublished - 2002
Externally publishedYes
EventInternational Workshop on Biometric Authentication, ECCV 2002 - Copenhagen, Denmark
Duration: 2002 Jun 12002 Jun 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2359 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Workshop on Biometric Authentication, ECCV 2002

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Face recognition based on ICA combined with FLD'. Together they form a unique fingerprint.

Cite this