International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,October 2017,

Topic : A Survey on Segment Based Evaluation of Co- factor Used in Human Gait Recognition

Authors:Dr. P.S.Smitha || Sruthi Nath C

Abstract:Gait recognition is an effective biometric feature to identify persons from a distance by the way people walk or run. While gait has several attractive properties as a biometric, the greatest disadvantage in gait recognition is to identify an individual with cofactors and in different emotional and environmental conditions. Different views and angles of the camera also constitutes in degradation of the gait identification. Thus different measures and methods have been proposed for enhancing the gait identification in these cases. This paper is study of gait recognition during these conditions and discussing ways for lowering the degradations. This paper presents a literature review of cofactor affected gait recognition and propose a method to identify cofactor affected probes in certain view angles. Recent researches in gait identification techniques are presented in this paper..

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DOI: 01.1617/vol4/iss10/pid32418


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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