In this study, individuals were asked to draw a symbol by using their fingertips on a digital device screen. This study focused on finger-touch direction information that can be extracted from a smartphone screen. To suppress rapid changes in the detected direction data, preprocessing was introduced, and its effectiveness was confirmed by evaluating the verification performance. Finally, representing the direction data as a frequency distribution was introduced as a new feature, which was demonstrated to improve the verification performance.
CITATION STYLE
Nakanishi, I., Yamazaki, M., & Horiuchi, T. (2022). Finger-Touch Direction Feature Using a Frequency Distribution in the Writer Verification Base on Finger-Writing of a Simple Symbol. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13639 LNCS, pp. 112–121). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-21648-0_8
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