Local wavelet analysis for face recognition

Hazim Kemal Ekenel, Rainer Stiefelhagen

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

Abstract

In this paper we investigate the benefits of using local wavelet analysis to the face recognition problem. We examine two possible approaches to perform local wavelet analysis. In the first approach, discrete wavelet transform is performed on the entire face image and then the transformed image is partitioned into non-overlapping rectangular blocks. In the second approach, as in the JPEG2000 standard, the input face image is first partitioned into non-overlapping rectangular blocks, and then on each block discrete wavelet transformation is performed. Proposed approaches are tested against the occlusion problem using the AR face database and significant improvements are observed in the face recognition performance.

Original languageEnglish (US)
Title of host publication2007 IEEE 15th Signal Processing and Communications Applications, SIU
DOIs
StatePublished - 2007
Event2007 IEEE 15th Signal Processing and Communications Applications, SIU - Eskisehir, Turkey
Duration: Jun 11 2007Jun 13 2007

Publication series

Name2007 IEEE 15th Signal Processing and Communications Applications, SIU

Conference

Conference2007 IEEE 15th Signal Processing and Communications Applications, SIU
Country/TerritoryTurkey
CityEskisehir
Period6/11/076/13/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication
  • Signal Processing

Fingerprint

Dive into the research topics of 'Local wavelet analysis for face recognition'. Together they form a unique fingerprint.

Cite this