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Iris Biometric Model for Secured Network Access

for Secured Network Access proposes a new model, the IrisCryptoAgentSystem (ICAS), which is based on a biometric method for authentication;

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Iris Recognition

Iris recognition has received increasing attention recently in the world. A biometric system provides automatic identification of an;

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Biometrics

deployment in network, e-commerce, and retail applications. This book provides in-depth analysis of biometrics as a solution for authenticating;

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The Biometric Computing

Different methodologies and algorithms for human identification using biometrics traits such as face, Iris, fingerprint, palm print, voiceprint etc;

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Deep Learning in Biometrics

biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus;

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Biometric User Authentication for IT Security

traits of humans. Biometric User Authentication for IT Security: From Fundamentals to Handwriting conveys general principals;

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Biometric User Authentication for It Security

traits of humans. Biometric User Authentication for IT Security: From Fundamentals to Handwriting conveys general principals;

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Identity Management with Biometrics

Work with common biometrics such as face, fingerprint, and iris recognition for business and personal use to ensure secure identification;

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Biometric Recognition

, fingerprint and palmprint, vein biometrics, iris and ocular biometrics, behavioral biometrics, application and system of biometrics, multi-biometrics;

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AI and Deep Learning in Biometric Security

convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to;

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An Optimum Restoration Algorithm for Virtual Private Networks

Topology for a Network Size of 10 Nodes, using the Growth Attachment Mechanism. For comparison/evaluation, Waxman and Barabasi-Albert Models are;

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Handbook of Biometric Anti Spoofing

, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on;

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Image Pattern Recognition

The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable;

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Biometrics

biometrics. Theory, Methods and Applications covered: Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design;

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Biometric Recognition

on Face Recognition and Analysis; Fingerprint, Palm-print and Vascular Biometrics; Iris and Ocular Biometrics; Behavioral Biometrics;

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Privacy & Data Prot Isue Of Biomet Apli

approach starts with explaining the functioning of biometric systems in general terms for non-specialists. It continues with a description of the;

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Introduction To Biometrics

three commonly used modalities in the biometrics field, namely, fingerprint, face, and iris are covered in detail in this book. Few other;

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Introduction to Biometrics

three commonly used modalities in the biometrics field, namely, fingerprint, face, and iris are covered in detail in this book. Few other;

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CCNP Implementing Secured Converged Wide-Area Networks (ISCW

, CCIE(R) No. 16696 CCNP Implementing Secured Converged Wide-Area Networks (ISCW 642-825) Lab Portfolio provides you with opportunities for hands;

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Biometric Data in Smart Cities

city. This book describes methods for processing biometric information in a smart city environment. The theoretical foundations of building;

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Selfie Biometrics

important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and;

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Biometrics in a Data Driven World

concludes with a discussion of future trends and opportunities in the field of biometrics, which will pave the way for advancing research in the;

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Biometrics

Biometrics refers to methods for uniquely recognising humans based upon one or more intrinsic physical or behavioural traits;

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Multispectral Biometrics

Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D;

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Multibiometrics For Human Identification

, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced;

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Biometric Recognition

questions about the effectiveness and management of systems for biometric recognition, as well as the appropriateness and societal impact of their;

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A Secure Rfid Id-Card System Via Robust Image Hashing

printout of individual's biometric feature (pictorial data) such as face, hand, iris and a textual message. Furthermore, an HF RFID tag that;

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