Title :
Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition
Author :
Muramatsu, Daigo ; Yasuda, Kumiko ; Matsumoto, Takashi
Author_Institution :
Dept. of Electr. & Mech. Eng., Seikei Univ., Musashino, Japan
Abstract :
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%.
Keywords :
Internet; Monte Carlo methods; cameras; data acquisition; handwriting recognition; image fusion; learning (artificial intelligence); message authentication; time series; AdaBoost; EER; Web camera-based online signature verification system; biometric person authentication method; data acquisition; equal error rate; image fusion model; pen tip image tracking; sequential Monte Carlo method; time-series data; Authentication; Biometrics; Cameras; Data acquisition; Data mining; Error analysis; Feature extraction; Handwriting recognition; Spatial databases; Writing; Biometrics; Camera-Based; Fusion; Online Signature Verification; Tracking;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.112
