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General Information
ISSN:
1798-2340 (Online)
Editor-in-Chief:
Prof. Kin C. Yow
Associate Editor-in-Chief:
Prof. Jinan Fiaidhi
DOI:
10.12720/jait
Abstracting/Indexing:
Scopus (Since 2020), EBSCO; Google Scholar; CrossRef;
etc
.
E-mail questions
or comments to
JAIT Editorial Office
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of the
JAIT
Editorial Board.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2020-07-14
(CFP) 2021 the annual meeting of JAIT Editorial Board, ICFIT 2021, will be held in Paris, France during March 14-16, 2021.
2020-12-25
Volume 11, No. 1-No. 4 have both been indexed by Scopus.
2020-12-16
Vol. 12, No. 1 has been published online!
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2021
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Volume 12, No. 1, February 2021
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Investigation of Detection Characteristics of Finger Pressure and Touch Area and Their Application to Pre-classifiers in Writer Verification
Yohei Masegi
1
, Atsushi Takahashi
1
, and Isao Nakanishi
2
1. Graduate School of Sustainability Sciences, Tottori University, Tottori, Japan
2. Faculty of Engineering, Tottori University, Tottori, Japan
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.
Index Terms
—finger pressure, finger touch area, pre-classifier
Cite: 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
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.
12-ME009-Japan
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