触摸屏设备上一种基于显隐试综合识别手写签名系统的设计

he key that relates to the performance of handwritten signature system is the high recognition rate and low false positive rate. The most importance of system design involves extracting features data that the users input. According to the characteristics of the touch-screen device, eigenvector verification algorithm is do excellent at improving the higher recognition rate and lower false positive rate .It is different from the traditional recognition algorithms. Eigenvector that is added pressure level, acceleration and other parameters can work better to explain the features on spatial and temporal scales. Moreover, In order to increase the recognition speed, special parameters and the empirical formula are introduced in the system design. Experimental results show that the design is excellent in performance. Recognition rate can reach 97.3% and 2.5% false positive rate can be received.