• Pavithra D S
• Shrishail Math

Human gait recognition is a distance based second generation biometrics, which is unobtrusive. Human gait recognition is nothing but identifying a person from its walking style. Human cooperation is not required in this biometric system. There are two approaches of gait recognition, which are model based and model free approaches. This paper provides a recent comprehensive survey of only model free gait recognition approach. This survey focuses on motion free gait image representation, dimensionality reduction of extracted feature and classification. Publicly available gait dataset are also discussed. The paper is concluded by listing the research challenges and by giving future direction in model free gait recognition approach.

Human gait, biometrics, machine learning techniques, feature extraction

"LITERATURE REVIEW ON HUMAN IDENTIFICATION USING GAIT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.262-266, June 2019, Available :http://www.jetir.org/papers/JETIR1908191.pdf

"LITERATURE REVIEW ON HUMAN IDENTIFICATION USING GAIT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp262-266, June 2019, Available at : http://www.jetir.org/papers/JETIR1908191.pdf