Szczegóły publikacji

Opis bibliograficzny

Application of elastic shape analysis to user authentication and identification / Krzysztof RZECKI, Mateusz BARAN // IEEE Transactions on Emerging Topics in Computing [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN  2168-6750 . — 2022 — vol. 10 iss. 2, s. 1157–1165. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 1164–1165, Abstr. — Publikacja dostępna online od: 2021-04-20. — M. Baran - dod. afiliacja: Faculty of Materials Engineering and Physics, Cracow University of Technology, Krakow, Poland

Autorzy (2)

Słowa kluczowe

elastic shape analysisbiometricsclassificationtouch screen gestures

Dane bibliometryczne

ID BaDAP140462
Data dodania do BaDAP2022-06-20
Tekst źródłowyURL
DOI10.1109/TETC.2021.3074242
Rok publikacji2022
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaIEEE Transactions on Emerging Topics in Computing

Abstract

Different methods of user identification and authentication are widely used in security systems. Touch screen-based methods are very convenient for users and do not require specialized equipment, although commonly used pattern locks alone provide a low level of security. Analysis of biometric features of performed gestures can greatly improve the security of touch screen-based identification and authentication, however typically a large amount of training samples is needed to build an accurate model. In this study a novel method based on Elastic Shape Analysis and covariance shrinkage is introduced to overcome this limitation. Two dataset (one with finger gestures and one with stylus gestures) were used. It is shown that 4 training samples are sufficient for identification among 24 people with accuracy of 84.7% using elastic Linear Discriminant Analysis. In user authentication, the area under the curve (AUC) score of 0.986 was reached using an elastic variant of Principal Component Analysis and 8 training samples per user. The approach can be easily adapted as a part of a touch-screen based user authentication or identification system. IEEE.

Publikacje, które mogą Cię zainteresować

fragment książki
#123335Data dodania: 9.12.2019
Application of elastic principal component analysis to person recognition based on screen gestures / Mateusz Baran, Leszek SIWIK, Krzysztof Rzecki // W: Artificial Intelligence and Soft Computing : 18th international conference, ICAISC 2019 : Zakopane, June 16–20, 2019 : proceedings, Pt. 1 / eds. Leszek Rutkowski, [et al.]. — Cham : Springer Nature Switzerland AG, cop. 2019. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 11508). — ISBN: 978-3-030-20911-7; e-ISBN: 978-3-030-20912-4. — S. 553-560. — Bibliogr. s. 558-560, Abstr. — Publikacja dostępna online od: 2019-05-24
fragment książki
#123346Data dodania: 9.12.2019
The elastic $k$-nearest neighbours classifier for touch screen gestures / Krzysztof Rzecki, Leszek SIWIK, Mateusz Baran // W: Artificial Intelligence and Soft Computing : 18th international conference, ICAISC 2019 : Zakopane, June 16–20, 2019 : proceedings, Pt. 1 / eds. Leszek Rutkowski, [et al.]. — Cham : Springer Nature Switzerland AG, cop. 2019. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 11508). — ISBN: 978-3-030-20911-7; e-ISBN: 978-3-030-20912-4. — S. 608-615. — Bibliogr. s. 614-615, Abstr. — Publikacja dostępna online od: 2019-05-24