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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(6): 590-594 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.233

Gait Recognition with Fuzzy Classification Using Shoulder Body Joint

Jyoti Bharti and M. K. Gupta
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)

[PDF]

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.

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