Selfie Biometrics : Advances and Challenges

dc.contributor.authorRattani, Ajita
dc.contributor.authorDerakhshani, Reza
dc.contributor.authorRoss, Arun A.
dc.date.accessioned2021-09-17T18:48:39Z
dc.date.available2021-09-17T18:48:39Z
dc.date.issued2019
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. However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones. Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.en_US
dc.description.tableofcontents1. Introduction to Selfie Biometrics -- Part I: Selfie Finger, Ocular and Face Biometrics -- 2. User Authentication via Finger-selfies -- 3. A Scheme for Fingerphoto Recognition in Smartphones -- 4. MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition -- 5. Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris -- 6. Foveated Vision for Biologically-inspired Continuous face Authentication.
dc.identifier.citationRattani, A., Derakhshani, R., and Ross, A. (Eds.) (2019). Selfie biometrics: Advances and challenges. Springer International Publishing.en_US
dc.identifier.isbn9783030269722
dc.identifier.urihttps://doi.org/10.1007/978-3-030-26972-2
dc.identifier.urihttps://soar.wichita.edu/handle/10057/21968
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesAdvances in computer vision and pattern recognition,;
dc.rights.holderCopyright by Springer, 2019en_US
dc.subjectBiometryen_US
dc.subjectUser interfaces (Computer systems)en_US
dc.titleSelfie Biometrics : Advances and Challengesen_US
dc.typeBooken_US
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