UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREY06135


Registration ID:
312780

Page Number

716-721

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Title

Symmetry Analysis for Automated Gait Recognition

Authors

Abstract

Gait recognition is the latest biometric to be added in symmetric analysis. As a biometric, gait includes perceiving individuals by the manner in which they gait paying little heed to their garments or the foundation to them. One significant advantage of gait over different biometrics (for example fingerprints) is the nonappearance of requirement for contact with subjects. Authors present a novel strategy for removing symmetry for programmed gait recognition dependent on examining the symmetry of human movement. The technique is strengthened from the psychologist’s point of view that human gait is a symmetry example of movement and furthermore by different works that propose symmetry is reasonable for gait recognition. Authors utilize the Generalized Symmetry Operator which finds features as indicated by their even properties rather than depending on the outskirts of a shape or on general appearance and consequently doesn't require the state of an object to be known ahead of time. The majority of the methodologies have utilized little databases. Authors show how symmetry can be utilized to perceive gait, again utilizing these databases and utilizing a lot bigger database. Authors additionally examine the presentation of symmetry concerning noise, occlusion and missing frames.

Key Words

Biometrics, Gait Recognition, Generalized symmetry operator, Symmetry analysis.

Cite This Article

"Symmetry Analysis for Automated Gait Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.716-721, June-2019, Available :http://www.jetir.org/papers/JETIREY06135.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Symmetry Analysis for Automated Gait Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp716-721, June-2019, Available at : http://www.jetir.org/papers/JETIREY06135.pdf

Publication Details

Published Paper ID: JETIREY06135
Registration ID: 312780
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 716-721
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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