Facial feature extraction and recognition based on Curvelet transform and SVD

Author

Jia, He ; Xiangfeng, Zhang

Author_Institution

Coll. of Comput. Sci. & Technol., Chengdu Univ. of Inf. Technol., Chengdu, China

fYear

2009

fDate

23-25 Oct. 2009

Firstpage

104

Lastpage

107

Abstract

This paper proposed a new algorithm of facial feature extraction and recognition based on curvelet transform and SVD (singular value decomposition). Firstly, the method carries on the curvelet transform to the face images, extracts the curvelet energy features of low frequency and the high frequency, and then carries on the singular value compression and feature fusion to this component. Finally, by using the nearest neighbor classifier in the ORL person face database, the classified recognition was carried out so that to confirm the validity of the algorithm.

Keywords

curvelet transforms; face recognition; feature extraction; image fusion; pattern classification; singular value decomposition; SVD; curvelet energy feature; curvelet transform; facial feature extraction; facial recognition; feature fusion; nearest neighbor classifier; singular value compression; singular value decomposition; Data mining; Face recognition; Facial features; Feature extraction; Frequency; Image coding; Image databases; Singular value decomposition; Wavelet analysis; Wavelet transforms; Curvelet transform; feature fusion; singular value decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5204-0

Electronic_ISBN

978-1-4244-5206-4

Type

conf

DOI

10.1109/ICACIA.2009.5361142

Filename

5361142