Local appearance based face recognition using discrete cosine transform

Hazim Kemal Ekenel*, Rainer Stiefelhagen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

87 Citations (Scopus)

Abstract

In this paper, a local appearance based face recognition algorithm is proposed. In the proposed algorithm local information is extracted using block-based discrete cosine transform. Obtained local features are combined both at the feature level and at the decision level. The performance of the proposed algorithm is tested on the Yale and CMU PIE face databases, and the obtained results show significant improvement over the holistic approaches.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages2484-2488
Number of pages5
Publication statusPublished - 2005
Externally publishedYes
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: 4 Sept 20058 Sept 2005

Publication series

Name13th European Signal Processing Conference, EUSIPCO 2005

Conference

Conference13th European Signal Processing Conference, EUSIPCO 2005
Country/TerritoryTurkey
CityAntalya
Period4/09/058/09/05

Fingerprint

Dive into the research topics of 'Local appearance based face recognition using discrete cosine transform'. Together they form a unique fingerprint.

Cite this