• Amit Sharma

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.

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

"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

"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