Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 147-150, 166.doi: 10.11896/j.issn.1002-137X.2016.11A.032

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Face Recognition Algorithm Based on Fusion of Optimized Wavelet Transform and Improved LDA

CHU Jian-pu, HE Guang-hui and LIU Yu-xin   

  • Online:2018-12-01 Published:2018-12-01

Abstract: A face recognition algorithm based on fusion of optimized wavelet transform and improved LDA(OWT+ILDA) was proposed.First,we extracted features of the preprocess face images through the 2-level wavelet transform,and an alternating direction method is used to solve the projection matrix and the corresponding optimal fusion coefficients of the high frequency wavelet sub-bands which are fused by the improved LDA.Then we combined representations of the low frequency and high frequency.Finally,the nearest neighbor classifier was used to perform face classification.Experiments were carried out on the ORL and YALE face databases,which indicate that the method is more effective than other traditional methods.

Key words: Wavelet transform,Coefficient of fusion,Face recognition

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