System Design Of Handwritten Signature On Force Touch-Screen

Medical science tells us that the human brain is closely related with both hands. Hands are the most complex activities of the human body. Hand through the many ways reflects the inner world of the status of activities. Handwriting is brain trace. A person's inner world revealed without modification, are passed to the fingers of the unconscious mind. Liking fingerprints can prove as a person's individual characteristics, writing also can be reflected in each person's unique personality. So, handwritten signature can be verified as a means of identity of the signer with everyone's different habits and character.With the rapid development of information technology, human-computer interaction becomes easier. Thus, electronic devices can identify the person's handwritten signature. With the traditional password authentication is different from handwritten signature authentication that allows users to feel more natural operation and comfort, so it has good prospects for development. In this paper, the popular touch-screen input device for the hardware, designing a signature verification system that guarantee superior performance. Becuse different touch screen devices have their own different electrical properties, so the signature information input and processing algorithms are not the same. The traditional recognition algorithms are generally based on the signature shape of the point by point comparison, in order to determine whether the signature is legal signature. The system is based on explicit and implicit characteristics of the different characteristics of the three different digital modeling, then make a comprehensive determination of the signature. When judging the authenticity of the signature. Not only the traditional dominant feature, namely, shape features, but also a combination of horizontal and vertical signature force factors. These factors have a stronger non-imitative. These factors have a stronger non-imitative. Therefore authentication system has more stable.The 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 97.7% and 2.8% false positive rate can be received.