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A camera-based online signature verification system is proposed in this paper. One Web camera is used for data acquisition, and a sequential Monte Carlo method is used for tracking a pen tip. Several distances are computed from an online signature, and a fusion model trained by using AdaBoost combines the distances and computes a final score.Preliminary experiments were performed by using a private database. The proposed system yielded an equal error rate (EER) of 4.0%.