We introduce the curve spread as an efficient descriptor of front-view gait of humans walking towards a camera. The curve spread is a compact two-dimensional representation of the time-variations of a moving body outline. Most gait biometrics employ features derived from side-view videos because limb swings are more pronounced from the side than from the front. However, side-view observations are often impractical and incompatible with the ability of humans to recognize others from front-view gait. Identification tests using cross correlation of curve spreads of 12 videos from 4 walking subjects, yielded 100% recognition rate.