DocumentCode :
3495183
Title :
A Novel Method for Facial Features Extraction Using Bilateral Filtering and Wavelet Transform
Author :
Khan, Asif ; Islam, Ihtesham-Ul-Islam Ul
Author_Institution :
Dept. of Commun. Eng., Myongji Univ., Yongin
Volume :
1
fYear :
2008
fDate :
11-13 Nov. 2008
Firstpage :
887
Lastpage :
892
Abstract :
In this paper we present a new approach to the problem of facial features extraction from a still facial image. The method does not need to process features such as, eyes, nose and mouth separately in different stages of processing. It detects the eyes, nose and mouth region in a face image at a single processing stage, reducing computational cost. Our four step method consists of Bilateral filtering, Wavelet Transform (WT), Dilation, and binary threshold. The proposed method shows high accuracy even in the presence of various gestures, illumination variations, closed eyes, and eyes with glasses.
Keywords :
face recognition; feature extraction; wavelet transforms; bilateral filtering; binary threshold; dilation; facial features extraction; wavelet transform; Computational efficiency; Eyes; Face detection; Facial features; Filtering; Glass; Lighting; Mouth; Nose; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
Type :
conf
DOI :
10.1109/ICCIT.2008.123
Filename :
4682142
Link To Document :
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