Face recognition based on phase-feature

Wei Jiang, Kin Man Lam, Ting Zhi Shen

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

Abstract

Gabor wavelets (GWs) have been commonly used to extract local features for various applications. Because extracting the Gabor features is computationally intensive, the simplified GW (SGW) has been proposed. In this paper, we propose a novel face recognition algorithm based on the histogram of the SGW phase. In our algorithm, we employ the affinity propagation method to cluster face images for classification. When compared to other conventional face recognition methods, our proposed method can achieve a better performance in terms of both recognition accuracy and tolerance to illumination variations.
Original languageEnglish
Title of host publicationAPSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference
Pages672-675
Number of pages4
Publication statusPublished - 1 Dec 2009
EventAsia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, Japan
Duration: 4 Oct 20097 Oct 2009

Conference

ConferenceAsia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009
Country/TerritoryJapan
CitySapporo
Period4/10/097/10/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Communication

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