Automatic signature verification based on accelerometry
暂无分享,去创建一个
The fine structure of the muscle forces that are exerted during the writing of a signature is constant and well defined for most people. In general, the fine structure is not subject to conscious control. Based on these observations, an experimental system has been designed that utilizes a person's signature dynamics to verify identities. The design and operational features of this system are described. Experiments on 70 subjects during a four-week period show a 2.9 percent rejection of valid signatures and a 2.1 percent acceptance of forgeries. An average of 1.2 trials was necessary for verification. The forgers were knowledgeable about the verification technique and did their best to deceive the system. The acceptance rate of random forgeries, i.e., accidental matching of two separate signatures, was 0.16 percent.
[1] K. Lashley. THE ACCURACY OF MOVEMENT IN THE ABSENCE OF EXCITATION FROM THE MOVING ORGAN , 1917 .
[2] W. G. Koster,et al. Analysis and Synthesis of Handwriting , 1967 .
[3] P. Bach-y-Rita. NEUROPHYSIOLOGY OF EYE MOVEMENTS , 1971 .
[4] F. Jelinek,et al. Continuous speech recognition by statistical methods , 1976, Proceedings of the IEEE.