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Erschienen in:
Possibilities of Applying the Triangulation Method in the Biometric Identification Process Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

Multitrait Selfie: Low-Cost Multimodal Smartphone User Authentication

verfasst von : Zahid Akhtar, Attaullah Buriro

Erschienen in: Biometric Identification Technologies Based on Modern Data Mining Methods

Verlag: Springer International Publishing

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Abstract

Biometric identification is biometric-based authentication on mobile devices that nowadays has become ubiquitous, especially in unattended (e.g., access control for banks) and consumer (e.g., mobile phone unlocking) applications. While, face, fingerprint and inherent behavioral biometrics using inbuilt sensors such as accelerometer for smartphones person authentication, they have yet not achieved the desired or required level of efficiency, security and usability. This chapter presents an uncontrolled multibiometric smartphone framework utilizing multitrait selfie and behavioral biometrics. In particular, the presented system authenticates subject by ocular and face selfie features. This new multimodal biometric system also takes silently into account micro-movements of the phone, movements of the user’s finger on the touchscreen while user is capturing the multitrait selfie and entering passcode simultaneously in a split-screen mode of the smartphone. Addition of micro-movements behaviors enhances not only the performance but also robustness against noise and spoofing attacks. For this study, we collected a mobile multimodal dataset (MultiTouchMove) of touchstroke and phone-movement patterns in the wild from 95 subjects, which is made publicly available by the authors. Preliminary experimental analysis, using public MOBIO Face, VISOB ocular, and MultiTouchMove mobile datasets, on accuracy and usability shows promising results.

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Vorheriges Kapitel Search of Informative Biometric Characteristic Features of the Palm Based on Parallel Shift Technology
Nächstes Kapitel Research of Biometric Characteristics of the Shape of the Ears Based on Multi-Coordinate Methods
Fußnoten
1
Just 2 days after the iPhone5s hit the market, it was fooled by a fingerprint spoof [3].
 
3
Touch-typing is the act of typing input on the touchscreen of a smartphone.
 
4
The database is made publicly available for research purposes and can be obtained by contacting the authors.
 
8
These are our rudimentary results. We are presently developing inexpensive deep learning topologies for face recognition in-the-wild on smartphones for elevated accuracy and interoperability.
 
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Metadaten
Titel
Multitrait Selfie: Low-Cost Multimodal Smartphone User Authentication
verfasst von
Zahid Akhtar
Attaullah Buriro
Copyright-Jahr
2021
Buch
Biometric Identification Technologies Based on Modern Data Mining Methods

Print ISBN: 978-3-030-48377-7

Electronic ISBN: 978-3-030-48378-4

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-48378-4_11

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