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Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm Read chapter Read first chapter

2014 | OriginalPaper | Chapter

A Human Factors Study of Graphical Passwords Using Biometrics

Authors : Benjamin S. Riggan, Wesley E. Snyder, Xiaogang Wang, Jing Feng

Published in: Pattern Recognition

Publisher: Springer International Publishing

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Abstract

One mode of authentication used in modern computing systems is graphical passwords. Graphical passwords are becoming more popular because touch-sensitive and pen-sensitive technologies are becoming ubiquitous. In this paper, we construct the “BioSketch” database, which is a general database of sketch-based passwords (SkPWs) with pressure information used as a biometric property. The BioSketch database is created so that recognition approaches may be commensurable with the benchmark performances. Using this database, we are also able to study the human-computer interaction (HCI) process for SkPWs. In this paper, we compare a generalized SKS recognition algorithm with the Fréchet distance in terms of the intra/inter-class variations and performances. The results show that the SKS-based approach achieves as much as a 7 % and 17 % reduction in equal error rate (EER) for random and skilled forgeries respectively.

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previous chapter Accurate Detection in Volumetric Images Using Elastic Registration Based Validation
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Footnotes
2
Resistive touchscreens cannot measure pressure.
 
3
The distance is with respect to \(x_0\), which represents an arbitrary reference point (usually the centroid).
 
4
SKS may be more robust than the Fréchet distance because it has broad definition of similar and a more narrow definition of different.
 
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Metadata
Title
A Human Factors Study of Graphical Passwords Using Biometrics
Authors
Benjamin S. Riggan
Wesley E. Snyder
Xiaogang Wang
Jing Feng
Copyright Year
2014
Book
Pattern Recognition

Print ISBN: 978-3-319-11751-5

Electronic ISBN: 978-3-319-11752-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-11752-2_38

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