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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Injunction

18; Hodson 1967: 114–16; von Rad 1963: 16). Gilkey (1962: 153) and Kaiser (2001: 81) clearly stated in this connection that for understanding the Old Testament the question that has to be examined is, what ‘biblical authors meant to say’ — and from here they move on, in a theological tradition, to s

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User Authentication via Finger-SelfiesNconstrained FIngerphoTo (UNFIT) database which is captured under challenging unconstrained conditions. The database also contains the manual annotation of identities and location of the fingers. We further present a segmentation algorithm to segment finger regions and, finally, perform feature extr

Nonconformist

A Scheme for Fingerphoto Recognition in Smartphonesr visibility of the ridges, reflections, perspective distortions, and nonuniform resolutions. Selfie fingerprint biometric methods are usually less accurate than touch-based methods, but their performance can be satisfactory for a wide variety of security applications. This chapter presents a compre

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MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisitionde the capture of a “good-quality” sample on a mobile device, is the new frontier for secure use of data and services. The iris is among the best candidates for biometric recognition. It is extremely discriminative: Right and left irises of the same person are so different to hinder a correct matchi

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Foveated Vision for Biologically Inspired Continuous Face Authentication S1 and C1 represent the responses to a bank of orientation-selective Gabor filters. S2 and C2 represent the responses of simple and complex cells to other textural features. The discrimination power of HMAX in recognizing classes of objects is invariant to rotation and scale. The C1 layer, which is

本土

Selfies for Mobile Biometrics: Sample Quality in Unconstrained Environmentsphone. Images were considered from constrained and unconstrained environments, where users took images both in indoor and outdoor locations, simulating real-life scenarios. We subsequently calculated the quality metrics for each image. To understand how each quality metric affected the authenticatio

Favorable

A Framework for Secure Selfie-Based Biometric Authentication in the Clouduthentication request is submitted, a criteria is used to select an appropriate matching algorithm. Every time a particular algorithm is selected, the corresponding developer is rendered a micropayment. Also presented in this chapter are solutions for preserving the confidentiality of biometrics sto

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Biometric Template Protection on Smartphones Using the Manifold-Structure Preserving Feature Represetrics. This chapter presents two variants of a new approach of template protection by enforcing the structure preserving feature representation via manifolds, followed by the hashing on the manifold feature representation. The first variant is based on the Stochastic Neighbourhood Embedding and the

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