DescriptionThere are several competing approaches towards identifying humans based on their biometrics. In this thesis, we designed, implemented a system towards human front gait identification. We leveraged the depth information obtained from front view depth image of a person. We explain how basic features which can be extracted from the depth image of an individual can be used for identifying a person correctly. Basic features such as depth values of legs, the angle between the legs and height of the person are utilized. We conclude the thesis discussing tradeoffs of the approach and avenues for further research.