Variable scale face recognition based on DCT and PCA

doi:10.3969/j.issn.1000-1565.2016.02.016

Abstract

Abstract: A variable scale face images recognition method is proposed, based on the DCT binding the PCA. First, different scale face images are transformed by DCT. Then, the same DCT coefficients are extracted;and the dimension of the DCT coefficients is reduced by PCA. Finally, matching and recognition of images is done. By the ORL and collected face images, it is proved that the method of recognition variable scale images is efficient. Effective values of DCT transformed coefficients and PCA feature dimension are measured.

Key words: face recognition, variable scales, discrete cosine transform, principal component analysis, match

CLC Number:

TP391

ZHANG Xin,LIU Hai,SONG Zhuozhan. Variable scale face recognition based on DCT and PCA[J]. Journal of Hebei University (Natural Science Edition), 2016, 36(2): 204-209.

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