Title :
Face Recognition Based on PLS and HMM
Author :
Hu, Yegang ; Liu, Benyong
Author_Institution :
Coll. of Comput. Sci. & Inf. Technol., Guizhou Univ., Guiyang, China
Abstract :
In this paper, a face recognition scheme is proposed, wherein face images are preprocessed based on pixel averaging and energy normalization, and features are extracted successively with fast Fourier transform and the partial least squares for dimensionality reduction, and classification results are obtained by a classifier based on hidden Markov model. Some experimental results on the Olivetti Research Laboratory face database are presented to show the feasibility of the presented scheme.
Keywords :
face recognition; fast Fourier transforms; feature extraction; hidden Markov models; least squares approximations; energy normalization; face recognition; fast Fourier transform; feature extraction; hidden Markov model; partial least squares; pixel averaging; Brightness; Data mining; Face recognition; Feature extraction; Hidden Markov models; Least squares methods; Linear discriminant analysis; Pixel; Principal component analysis; Spatial databases;
Conference_Titel :
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4199-0
DOI :
10.1109/CCPR.2009.5343968
