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dc.contributor.authorRattani, Ajita
dc.contributor.authorDerakhshani, Reza R.
dc.contributor.authorRoss, Arun A.
dc.date.accessioned2019-11-18T21:37:43Z
dc.date.available2019-11-18T21:37:43Z
dc.date.issued2019-09
dc.identifier.citationRattani, Ajita; Derakhshani, Reza R.; Ross, Arun A. (2019) Preface. Selfie Biometrics. Advances in Computer Vision and Pattern Recognition. Springer, Cham, pp v-vien_US
dc.identifier.isbn978-3-030-26971-5
dc.identifier.issn2191-6586
dc.identifier.urihttps://link.springer.com/book/10.1007/978-3-030-26972-2
dc.identifier.urihttp://hdl.handle.net/10057/16813
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community.en_US
dc.language.isoen_USen_US
dc.publisherSpringer Londonen_US
dc.relation.ispartofseriesAdvances in Computer Vision and Pattern Recognition;2019
dc.titlePrefaceen_US
dc.title.alternativePreface to Selfie Biometricsen_US
dc.typeEditorialen_US
dc.rights.holder© 2019 Springer Nature Switzerland AGen_US


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