Titlebook: Selfie Biometrics; Advances and Challen Ajita Rattani,Reza Derakhshani,Arun Ross Book 2019 Springer Nature Switzerland AG 2019 Biometrics.M

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Active Authentication on Mobile Devicesivacy in mobile devices becomes vital as the loss of a mobile device could compromise personal information of the user. To deal with this problem, Active Authentication (AA)? systems have been proposed in the literature where users are continuously monitored after the initial access to the mobile de

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Biometric Template Protection on?Smartphones Using the Manifold-Structure Preserving Feature?Represeol to personal services. The use of biometric data on smartphones introduces the need for capturing and storage of biometric data such as face images. Unlike the traditional passwords used for many services, biometric data once compromised cannot be replaced. Therefore, the biometric data not only s

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Super-resolution for Selfie Biometrics: Introduction and Application to Face and?Irisometrics. After an introduction to the generic topic of super-resolution, we investigate methods adapted to cater for the particularities of these two modalities. By experiments, we show the benefits of incorporating super-resolution to improve the quality of biometric images prior to recognition.

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Soft-Biometric Attributes from Selfie Imagesraits. Due to the limited hardware resources, low resolution of front-facing cameras, and the usage of the device in different environmental conditions, factors such as robustness to low-quality data, consent-free acquisition, lower computational complexity, and privacy, favor soft-biometric prediction in mobile devices.

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Sex-classification from Cellphones Periocular Iris Imagesstate of the art and show that when improving image resolution with the SRCNN the sex-classification rate increases. Additionally, a novel selfie?database captured from 150 subjects with an iPhone X was created (available upon request).