Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition

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%.

• Type: Conference
• Year: 2009
• Where: ICDAR
• Authors: Daigo Muramatsu, Kumiko Yasuda, Takashi Matsumoto
• Keywords: Document Analysis, ICDAR 2009, Online Signature, Online Signature Verification, Sequential Monte Carlo Method