Visual-based online signature verification using features extracted from video


We propose a visual-based online signature verification system. The input module of the system consists of only low-cost cameras (webcams) and does not need an electronic tablet. Online signature data are obtained from the images captured by the webcams by tracking the pen tip. The pen tip tracking is implemented by the sequential Monte Carlo method. Then… (More)
DOI: 10.1016/j.jnca.2009.12.010

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