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Footsteps, with different shoes of heels, sneakers, leathers or even bare footed, will appear in different grounds of concrete, wood, etc. To recognize human footsteps is not only the need of surveillance but the home service center also can use this information to understand the motion of people with techniques of sound localization, etc. Thus, if a footstep is discriminable, the application to various fields can be considered. In this paper, the feature extraction of a footstep is investigated. We focused on the mel-cepstrum analysis, walking interval, and the degree of similarity of spectrum envelope. It is shown for personal identification that the performance of the proposed method is effective.