Title :
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
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;
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
DOI :
10.1109/ICACIA.2009.5361142
