Title :
Modified algorithm of two-dimension LDA for face recognition
Author :
Wang, Yanjiang ; Fang, Juan ; Suo, Peng
Author_Institution :
Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying
Abstract :
A modified two-dimension linear discriminant analysis (2DLDA) algorithm is proposed. After lighting compensation, the input face images are processed first by singular value decomposition (SVD) perturbation and wavelet transform, and then the 2DLDA is used to extract the features, whose dimension is further reduced by PCA algorithm. At last, the support vector machines (SVM) classifier is used for classification and recognition. Experimental results on ORL database show that the proposed method has better recognition performance than other PCA- and LDA-based algorithms.
Keywords :
face recognition; feature extraction; image classification; principal component analysis; singular value decomposition; support vector machines; wavelet transforms; 2D linear discriminant analysis; PCA algorithm; face recognition; feature extraction; lighting compensation; singular value decomposition perturbation; support vector machine classifier; wavelet transform; Face recognition; Feature extraction; Image databases; Linear discriminant analysis; Principal component analysis; Singular value decomposition; Spatial databases; Support vector machine classification; Support vector machines; Wavelet transforms;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697423
