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.
Index Terms—Gait recognition, intersection, recognition rate, biometric, fuzzy.
Jyoti Bharti is with the Department of Comp.Sc and Engg. of Maulana Azad National Institute of Technology, Bhopal,India, (e-mail: jyoti2202@gmail.com)
M. K. Gupta is with the Electronics & Communication Department of Maulana Azad National Institute of Technology, Bhopal, India (e-mail: gupta4@yahoo.com)
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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.
