Signature Verification Using Handwriting Friction Force
基于书写摩擦力的签名识别方法

Dynamic coordinates exist in handwriting input equipment of the digital pen. Consequently, various holding gestures of the digital pen lead to different decomposition ways of friction force. An approach using handwriting friction force for online signature verification is presented. The feature representation of friction direction is described in Cartesian coordinates. A novel system combines the extracted signature features with the characteristic of force magnitude to realize fusion of distance measures and probability. A quickly removed method is applied to the proposed system to improve the recognition efficiency. Two-stage discrimination is executed in distinguishing true and false signatures. Experiment result explores that fusion of handwriting force magnitude and direction for signature verification is shown to give complementary recognition information. As opposed to a single method, the fusion approach has a much higher recognition rate.