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We propose a camera-based online signature verification system. Time-series images are obtained from a camera while a signature is being written. Then, online signature data are obtained by tracking the pen tip from these images with a particle filter (sequential Monte Carlo). The proposed system has an advantage that special devices such as an electronic tablet are not necessary. In this system,...
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...
We propose a visual-based online signature verification system in which the signer's pen tip is tracked. The input module of the system consists of only low-cost cameras (webcams) and does not need special equipment such as an electronic tablet. Online signature data is obtained from the images captured by the webcams by tracking the pen tip. The pen tip tracking is implemented by the sequential Monte...
A factor known as intersession variability in signatures causes deterioration of authentication performance. We propose a novel algorithm that includes a model updating scheme to correct for this variability. A model was provided for each user to calculate a score using fused multiple distance measures with respect to previous work. The algorithm consisted of an updating phase in addition to a training...
Personal authentication is becoming increasingly important. Biometrics, that is, the use of biological information, is one of the most promising techniques for this application. This paper proposes an online signature verification system. A serious problem in online signature verification is the difficulty of collecting enough signature data to generate a reliable model. In this paper, we propose...
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