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Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition
2009
2009 10th International Conference on Document Analysis and Recognition
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 Ad-aBoost 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%. 2009 10th
doi:10.1109/icdar.2009.112
dblp:conf/icdar/MuramatsuYM09
fatcat:4z3sn3tm3ffurkptll552uvz6a