A novel facial features extraction algorithm using Gabor wavelets

Wei Jiang*, Jian Zhang, Ting Zhi Shen, Xiao Hua Wang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

An efficient algorithm for facial features extractions is proposed. The facial features we extracted are the edges of two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector to detect the face region and facial features regions. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effect if the person wearing glassed, and so on.

Original languageEnglish
Title of host publicationProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Pages649-653
Number of pages5
DOIs
Publication statusPublished - 2008
Event1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
Duration: 27 May 200830 May 2008

Publication series

NameProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Volume2

Conference

Conference1st International Congress on Image and Signal Processing, CISP 2008
Country/TerritoryChina
CitySanya, Hainan
Period27/05/0830/05/08

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