A study on face feature extraction algorithm combining Gabor wavelet and PCA

Yuling Xiao; Haoran Zhang

doi:10.1117/12.2635703

6 May 2022 A study on face feature extraction algorithm combining Gabor wavelet and PCA

Yuling Xiao, Haoran Zhang

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225625 (2022) https://doi.org/10.1117/12.2635703
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

A face feature extraction algorithm combining Gabor wavelet transform and principal component analysis (PCA) was proposed. Firstly, face features of different directions and scales were extracted by Gabor wavelet transform to form feature vectors, and then dimensionality of extracted features was reduced by PCA. Experimental results show that the algorithm has good robustness, especially in large sample database.

Citation Download Citation

Yuling Xiao and Haoran Zhang "A study on face feature extraction algorithm combining Gabor wavelet and PCA", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225625 (6 May 2022); https://doi.org/10.1117/12.2635703

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