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Signature Verification Based on the Kinematic Theory of Rapid Human Movements
2017
IEEE Transactions on Human-Machine Systems
Dynamic signature verification based on temporal features are more precise than the static methods because in addition to position information of the drawing pattern, it uses local and global features extracted from velocity, acceleration, pressure and pen angle signals, while static methods only use image information. In this study, we segmented the signature patterns using the basic role of velocity in the control process of skilled movements and then the function features were extracted. In
doi:10.1109/thms.2016.2634922
fatcat:ecksqri6kfc2tkyirmjw5yfawy