doi: 10.7763/IJFCC.2013.V2.233
Gait Recognition with Fuzzy Classification Using Shoulder Body Joint
Jyoti Bharti
1
,
M. K. Gupta
2
- 1 Department of Comp.Sc and Engg. of Maulana Azad National Institute of Technology, Bhopal,India
- 2 Electronics & Communication Department of Maulana Azad National Institute of Technology, Bhopal, India
Abstract
In this paper, the adopted methodology based on intersection with fuzzy classification. Consider two human body joint i.e. shoulder and feet. Feet body joint is separated in to two component toe and heel of the left and right leg. Two triangles are formed on joining the shoulder and feet (toe and heel). The intersecting points are computed on CASIA database. Fuzzy classification yield enhanced recognition rate.
Keywords
- Gait recognition
- intersection
- recognition rate
- biometric
- fuzzy
How to Cite
Jyoti Bharti and M. K. Gupta, "Gait Recognition with Fuzzy Classification Using Shoulder Body Joint," International Journal of Future Computer and Communication, vol. 2, no. 6, pp. 590-594, 2013. https://doi.org/ 10.7763/IJFCC.2013.V2.233
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).