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Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition

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3 Author(s)
Daigo Muramatsu ; Dept. of Electr. & Mech. Eng., Seikei Univ., Musashino, Japan ; Kumiko Yasuda ; Takashi Matsumoto

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%.

Published in:

2009 10th International Conference on Document Analysis and Recognition

Date of Conference:

26-29 July 2009