Human Gait Recognition Using Bezier Curves

Gait recognition refers to automatic identification of an individual based on the style of walking. It is a new biometrics recognition technology. It has accomplished a series of achievements in scientific research in recent years. This paper proposed a new algorithm which is based on Bezier curves. Bezier curves are generated according to person’s walk and recognition is achieved by matching those curves by calculating the mean and variance, and used for recognition. Only the side-view of the person is considered, since this viewing angle provide the richest information of the gait of the waking person. The experimental result shows that the proposed approach has a good recognition performance.