@inproceedings{oai:repository.lib.tottori-u.ac.jp:02001228,
 author = {FUKUDA,Takumi and 中西,功 and NAKANISHI,Isao},
 book = {Proceedings of 2023 Tenth International Symposium on Computing and Networking Workshops(CANDARW)},
 month = {Dec},
 note = {We proposed writer verification based on the finger-writing of a simple symbol on a smartphone screen for biometric authentication. Among the features used for authentication, the finger contact area and finger pressure features do not depend on the shape of the symbol. This study focuses on the relationship between finger contact area and finger pressure, which increases proportionally when the finger is pressed on a smartphone screen. Specifically, we plot the time-series data of finger pressure and contact area on a two-dimensional graph, approximate their relationship with a straight line, and use the slope and intercept as a new feature as the finger-softness feature. The best equal error rate (EER) of this new feature is 19.8%, and its average EER is approximately 23%. This new feature is considered superior to the direct use of conventional finger pressure and finger contact area features.},
 publisher = {IEEE},
 title = {Introduction of Finger-softness Feature into Writer Verification Based on Finger-writing of Simple Symbol},
 year = {2023},
 yomi = {ナカニシ,イサオ}
}