Home // ICSEA 2015, The Tenth International Conference on Software Engineering Advances // View article
Authors:
Mikhail Gofman
Sinjini Mitra
Kevin Cheng
Nicholas Smith
Keywords: Multimodal biometrics; quality; score-level fusion; mobile
Abstract:
Biometric authentication is a promising approach to access control in consumer mobile devices. Most current mobile biometric authentication techniques, however, authenticate people based on a single biometric modality (e.g., iPhone 6 uses only fingerprints), which limits resistance to trait spoofing attacks and ability to accurately identify users under uncontrolled con- ditions in which mobile devices operate. These challenges can be alleviated by multimodal biometrics or authentication based on multiple modalities. Therefore, we develop a proof-of-concept mobile biometric system which integrates information from face and voice using a novel score-level fusion scheme driven by the quality of the captured biometric samples. We implement our scheme on the Samsung Galaxy S5 smartphone. Preliminary eval- uation shows that the approach increases accuracy by 4.14% and 7.86% compared to using face and voice recognition individually, respectively.
Pages: 274 to 276
Copyright: Copyright (c) IARIA, 2015
Publication date: November 15, 2015
Published in: conference
ISSN: 2308-4235
ISBN: 978-1-61208-438-1
Location: Barcelona, Spain
Dates: from November 15, 2015 to November 20, 2015