A Novel Technique Used for Gait Recognition MDA, LDA and BPNN- A Review
Ira Gaba1, Paramjit Kaur2

1Ira Gaba, Department of Computer Science, Indo Global Group of Colleges, Abhipur (Punjab), India.
2Paramjit Kaur, Assistant Professor, Department of Computer Science, IGEF, (Punjab), India.
Manuscript received on 11 June 2013 | Revised Manuscript received on 17 June 2013 | Manuscript Published on 30 June 2013 | PP: 136-138 | Volume-3 Issue-1, June 2013 | Retrieval Number: A0920063113/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Gait is the manner of the limb movement or the manner a foot of an individual and recognition of an individual is the task of identify a people. Gait Recognition is the biometric process by which an individual can be identify by the manner of walk. The advantage of gait over other biometric traits such as face, iris and fingerprint etc is that it is non-invasive and less unobtrusive biometric, which offers to identify people at the distance, without any interaction from the subject or at low resolution. In this paper we present the review of gait recognition system and different approaches MDA, LDA, PCA and BPNN.
Keywords: BPNN, Feature Extraction, Gait Recognition, LDA, MDA, PCA, Silhouette Extraction.

Scope of the Article: Pattern Recognition