A Novel One-Parameter Regularized Linear Discriminant Analysis for Solving Small Sample Size Problem in Face Recognition

Wensheng Chen*, Pong Chi Yuen, Jian Huang, Daoqing Dai

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

1 Citation (Scopus)

Abstract

In this paper, a new 1-parameter regularized discriminant analysis (IPRDA) algorithm is developed to deal with the small sample size (S3) problem. The main limitation in regularization is that the computational complexity of determining the optimal parameters is very high. In view of this limitation, we derive a single parameter (t) explicit expression formula for determining the 3 parameters. A simple and efficient method is proposed to determine the value of t. The proposed IPRLDA method for face recognition has been evaluated with two public available databases, namely ORL and FERET databases. The average recognition accuracy of 50 runs for ORL and FERET database are 96.65% and 94.00% respectively. Comparing with existing LDA-based methods in solving the S3 problem, the proposed 1PRLDA method gives the best performance.

Original languageEnglish
Title of host publicationAdvances in Biometric Person Authentication
Subtitle of host publication5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004, Proceedings
EditorsStan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages320-329
Number of pages10
Edition1st
ISBN (Electronic)9783540305484
ISBN (Print)9783540240297
DOIs
Publication statusPublished - 29 Nov 2004
Event5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004 - Guangzhou, China
Duration: 13 Dec 200414 Dec 2004
https://link.springer.com/book/10.1007/b104239

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume3338
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameSINOBIOMETRICS: Chinese Conference on Biometric Recognition

Conference

Conference5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004
Country/TerritoryChina
CityGuangzhou
Period13/12/0414/12/04
Internet address

Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

User-Defined Keywords

  • Face Recognition
  • Linear Discriminant Analysis
  • Training Image
  • Recognition Accuracy
  • FERET Database

Fingerprint

Dive into the research topics of 'A Novel One-Parameter Regularized Linear Discriminant Analysis for Solving Small Sample Size Problem in Face Recognition'. Together they form a unique fingerprint.

Cite this