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In this paper, a novel 3D face recognition algorithm based on facial profile information is presented, which needn't the training phase, and consumes little computation cost. We first extract and normalize the 3D face profiles, and then, the shape and texture information of the profiles are used to represent 3D faces. After that, three representations and the corresponding metric for facial profiles are proposed, the arc length metric (PL), the feature points' location metric (PFL) and the relative distance matrix metric (PFDM), to address the face recognition task. Finally, we test our algorithm based on facial profiles on BJUT-3D face database, and achieve the best performance of 97.1% for fusion experiment.