Use wavelet transform to gait recognition

@article{Liu2015UseWT,
  title={Use wavelet transform to gait recognition},
  author={Zhiyong Liu and Guan Qing Yang},
  journal={2015 8th International Congress on Image and Signal Processing (CISP)},
  year={2015},
  pages={1635-1639}
}
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. 

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
Showing 1-2 of 2 extracted citations

Remote person authentication in different scenarios based on gait and face in front view

2017 14th International Multi-Conference on Systems, Signals & Devices (SSD) • 2017
View 7 Excerpts
Highly Influenced

5G Based Collision Avoidance - Benefit from Unobtrusive Activities

2018 European Conference on Networks and Communications (EuCNC) • 2018
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 24 references

Advances in Gait Representation and Gait Fusion Methods

Changhong Chen, Jiming Liang, Heng Zhao
Computer Science,37(8), • 2010
View 1 Excerpt

A survey of gait recognition

Benbo Hou, Kejun Wang
Journal of Image and Graphics, • 2007
View 1 Excerpt

A review on Gabor wavelets for face recognition

Pattern Analysis and Applications • 2006

Individual recognition using gait energy image

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2006
View 1 Excerpt

An Introduction to Biometric Recognition

K Anil, Arun Ross, Salil Prabhakar
IEEE Transactions on Circuits and Systems for Video Technology, • 2004
View 1 Excerpt

Similar Papers

Loading similar papers…