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dc.contributor.authorRattani, Ajita
dc.contributor.authorDerakhshani, Reza R.
dc.contributor.authorRoss, Arun A.
dc.date.accessioned2019-11-18T21:39:46Z
dc.date.available2019-11-18T21:39:46Z
dc.date.issued2019-09-22
dc.identifier.citationRattani A., Derakhshani R., Ross A. (2019) Introduction to Selfie Biometrics. In: Rattani A., Derakhshani R., Ross A. (2019) Selfie Biometrics. Advances in Computer Vision and Pattern Recognition. Springer, Chamen_US
dc.identifier.isbn978-3-030-26971-5
dc.identifier.issn2191-6586
dc.identifier.urihttps://doi.org/10.1007/978-3-030-26972-2_1
dc.identifier.urihttp://hdl.handle.net/10057/16814
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractTraditional password-based solutions are being predominantly replaced by biometric technology for mobile user authentication. Since the inception of smartphones, smartphone cameras have made substantial progress in image resolution, aperture size, and sensor size. These advances facilitate the use of selfie biometrics such as the self-acquired face, fingerphoto, and ocular region for mobile user authentication. This chapter introduces the topic of selfie biometrics to the readers. Overview of the methods for different selfie biometrics modalities is provided. Liveness detection, soft-biometrics prediction, and cloud-based infrastructure for selfie biometrics are also discussed. Open issues and research directions are included to provide the path forward. The overall aim is to improve the understanding and advance the state-of-the-art in this field.en_US
dc.language.isoen_USen_US
dc.publisherSpringer Londonen_US
dc.relation.ispartofseriesAdvances in Computer Vision and Pattern Recognition;2019
dc.subjectMobile user authenticationen_US
dc.subjectSelfie biometricsen_US
dc.titleIntroduction: Selfie Biometricsen_US
dc.typeBook chapteren_US
dc.rights.holder© 2019 Springer Nature Switzerland AGen_US


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