A Survey of Gait Recognition Approaches Using PCA & ICA

Dr. M.Pushparani; D.Sasikala

A Survey of Gait Recognition Approaches Using PCA & ICA

Dr. M.Pushparani * §

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D.Sasikala

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§ Mother Teresa Womens University

A Survey of Gait Recognition Approaches Using PCA & ICA

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Abstract

Human identification by gait has created a great deal of interest in computer vision community due to its advantage of inconspicuous recognition at a relatively far distance. Biometric systems are becoming increasingly important, since they provide more reliable and efficient means of identity verification. Biometric gait Analysis (i.e. recognizing people from the way they walk) is one of the recent attractive topics in biometric research. It has been receiving wide attention in the area of Biometric. In Gait biometric research there are various gait recognition approaches are available. In this paper, the gait recognition approaches such as “Wavelet Descriptor with ICA”, and “Hough transform with PCA” are compared and discussed.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. M.Pushparani, D.Sasikala. 2012. "A Survey of Gait Recognition Approaches Using PCA & ICA". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E10).

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GJCST Volume 12 Issue E10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Biometrics Gait Recognition approaches Survey

Classification

GJCST-E Classification D.4.6

Submission ReceivedDecember 11, 2011
Peer Review Double Blind
Handling Editor
Accepted January 3, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

June 2, 2012

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. M.Pushparani, D.Sasikala (PhD/Dr. count: 1)

View Count (all-time): 354

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Publish Date: 2012 01, Sun

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Total Views: 2.7K

Total Downloads: 197

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