Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition

Sheng Li, Yong Fang Yao, Xiao Yuan Jing, Zhu Li Shao, Dapeng Zhang, Jing Yu Yang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

A nonlinear DCT discriminant feature extraction approach for face recognition is proposed. First, we analyze the nonlinear discriminabilities of DCT frequency bands and select appropriate bands. Second, we extract nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. generalized kernel discriminative common vector (KDCV) method. The experimental results on the Feret database demonstrate the effectiveness of this new approach.
Original languageEnglish
Title of host publicationProceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Pages338-341
Number of pages4
Volume3
DOIs
Publication statusPublished - 1 Dec 2008
Event2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, China
Duration: 21 Dec 200822 Dec 2008

Conference

Conference2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Country/TerritoryChina
CityShanghai
Period21/12/0822/12/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management

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