Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Recently, biometrics technologies have been widely studied in order to remove the drawbacks of conventional information security technologies. Current biometrics technologies are almost based on static authentication, for example, fingerprint, iris, blood vessel and so on. In order to develop this area more, it is necessary to include dynamic authentication technique by using on-line signature, body movement and gesture. This paper shows a novel on-line handwriting authentication method by a new dissimilarity measurement and writing trajectories in pen-up as well as pen-down. As the result of simple experiment, proposed measure works well for distinguishing a registered handwriting from an unregistered handwriting.
