Use Wavelet Transform To Gait Recognition

被引：0

作者：

Liu, Zhiyong ^{[1
]}

Yang, Guan ^{[2
]}

机构：

[1] Shenzhen Polytech, Ind Ctr, Shenzhen, Peoples R China

[2] Zhongyuan Univ Technol, Sch Comp Sci, Zhengzhou, Peoples R China

来源：

2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2015年

关键词：

gait energy image; wavelet transform; feature fusion; gait recognition; PERCEPTION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Now, gait recognition for identification has received more and more attention from biometrics researchers. Gait Energy Image(GEI) is an efficient represent method and Gabor wavelet has many excellent property, so we use the Gabor wavelet to extract the amplitude and phase feature of GEI, research their recognition ability respectively, at last, fusion the two features in rank level to gait recognition. The algorithm is tested in the CASIA Datasets A and gain high correct recognition rates.

引用

页码：1635 / 1639

页数：5

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