File
Authors
Masegi, Yohei Graduate School of Sustainability Sciences, Tottori University
Takahashi, Atsushi Graduate School of Sustainability Sciences, Tottori University
Nakanishi, Isao Faculty of Engineering, Tottori University Researchers DB KAKEN
Keywords
finger pressure
finger touch area
pre-classifier
Abstract
We propose a highly convenient authentication system, that requires a user to write a simple symbol on a touch-panel display of a smartphone and/or tablet terminal. The detection characteristics of the finger pressure and finger touch area on a touch-panel display are investigated since they are expected to be individual features that are independent from the written shapes. As a result, the exact pressure and contact area values are not detected but it is confirmed that the values corresponding to the pressure and the contact area are measured on the touch panel screen. Moreover, we propose to use the extracted features as pre-classifiers and apply them to writer verification. The verification performance is confirmed to be improved by the proposed classifier.
Publisher
JAIT
Content Type
Journal Article
Link
ISSN
17982340
Journal Title
Journal of Advances in Information Technology
Current Journal Title
Journal of Advances in Information Technology
Volume
12
Issue
1
Start Page
78
End Page
83
Published Date
2021-02
Publisher-DOI
Text Version
Author
Rights
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
Citation
Yohei Masegi, Atsushi Takahashi, and Isao Nakanishi, "Investigation of Detection Characteristics of Finger Pressure and Touch Area and Their Application to Pre-classifiers in Writer Verification," Journal of Advances in Information Technology, Vol. 12, No. 1, pp. 78-83, February 2021. doi: 10.12720/jait.12.1.78-83
Department
Faculty of Engineering/Graduate School of Engineering
Language
English