The human gait is an important biometric feature for human identification. Individuals have distinctive and special ways of walking. Our proposed methodology comes under the appearance-based approaches, different types of features (e.g., the whole silhouettes silhouette width & height values and joint angles are first extracted. In the subsequent pattern-matching stage, some approaches exploit the silhouette shape and dynamics information. By the usage of appearance based approach, we can reduce the dimensionality which in turn reduces time complexity.