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In order to improve the accuracy of the handwritten signature verification and ensure the preciseness of the authentication, we need to improve the design of the HMM(Hidden Markov Models) algorithm. When the current algorithm is used to authenticate the handwritten signature, there are many problems such as low error and low efficiency. A video based handwritten signature verification algorithm based on HMM(Hidden Markov Models) model is proposed. The algorithm will use the Wacom tablet collection handwritten signature feature points and pressure data of handwritten signature features and pressure data collected for pretreatment, eliminate the influence of environment in the process of collecting and writing board, and standard video handwriting signature features location, size, feature extraction of handwritten signature and pressure data, and then to the HMM model of the extracted video signature feature points and the pressure data authentication and calculation, to determine the true degree of signature. The simulation results show that the proposed algorithm improves the performance of video signature verification.