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Proceedings Paper

Face recognition based on the band fusion of generalized phase spectrum of 2D-FrFT
Author(s): Xu Wang; Lin Qi; Yun Tie; Enqing Chen; Huijing Sun
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Paper Abstract

In this paper, we propose a novel feature extraction method for face recognition based on two dimensional fractional Fourier transform (2D-FrFT). First, we extract the phase information of facial image in 2D-FrFT, which is called the generalized phase spectra (GPS). Then, we present an improved two-dimensional separability judgment (I2DSJ) to select appropriate order parameters for discrete fractional Fourier transform. Finally, multiple orders’ generalized phase spectrum bands (MGPSB) fusion is proposed. In order to make full use of the discriminative information from different orders for face recognition, the proposed approach merges different orders’ generalized phase spectra (GPS) of 2D-FrFT. The proposed method is no need to construct the subspace through the feature extraction methods and has less computation cost. Experimental results on the public face databases demonstrate that our method outperforms the representative methods.

Paper Details

Date Published: 8 February 2017
PDF: 5 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250G (8 February 2017); doi: 10.1117/12.2266432
Show Author Affiliations
Xu Wang, Zhengzhou Univ. (China)
Lin Qi, Zhengzhou Univ. (China)
Yun Tie, Zhengzhou Univ. (China)
Enqing Chen, Zhengzhou Univ. (China)
Huijing Sun, Zhengzhou Univ. (China)

Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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