Title :
Coefficients´ co-occurrence histogram of DWFT based feature extration with ONPP for face recognition
Author :
Liu, Xiaoshan ; Du, Minghui ; Jin, Lianwen
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
The important step of face recognition based on subspace method is to obtain powerful features. In this paper, we propose a novel feature extraction technique based on discrete wavelet frame transform (DWFT), which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. In the feature space, we use orthogonal neighborhood preserving profections (ONPP) algorithm to reduce dimension. Experimental results show that the proposed algorithm is effective in face recognition. Comparisons with the other approaches are also provided.
Keywords :
discrete wavelet transforms; face recognition; feature extraction; co-occurrence histogram; decomposed image; discrete wavelet frame transform; face recognition; feature extration; feature space; frequency subband; orthogonal neighborhood preserving profections algorithm; subspace method; Biometrics; Discrete wavelet transforms; Face recognition; Feature extraction; Frequency; Histograms; Humans; Low pass filters; Physics; Power engineering and energy; DWFT; ONPP; coefficients´ co-occurrence histogram; face recognition; feature extraction;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357734