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Hand-Based Biometrics

palm vein patterns. This book explores the range of technologies and methods under development and in use for hand-based biometrics, with;

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Handbook of Vascular Biometrics

recognition, i.e. vascular biometrics, including finger vein recognition, handpalm vein recognition, retina recognition, and sclera recognition;

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Handbook of Vascular Biometrics

recognition, i.e. vascular biometrics, including finger vein recognition, handpalm vein recognition, retina recognition, and sclera recognition;

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Biometrics

designed for biometrical authentication, large scale palm print identification and distributional properties of count outcomes and limitations;

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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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Vein Pattern Recognition

One of the most promising emerging biometric technologies, vein pattern recognition (VPR) is more accurate than many other biometric;

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Biometric Recognition

carefully reviewed and selected from 138 submissions. The papers are organized in topical sections on face; fingerprint, palm-print and vascular;

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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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Deep Learning for Biometrics

fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture;

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Multibiometrics For Human Identification

In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for;

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Biometric Security and Privacy: Opportunities & Challenges in the Big Data Era

, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical;

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Biometric Security and Privacy: Opportunities & Challenges in the Big Data Era

, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical;

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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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Biometric Identification, Law and Ethics

state of the technology, how it is being used, the key ethical issues, and the implications for law and regulation. The five chapters examine;

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Advances in Biometrics

, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for;

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Advances in Biometrics

, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for;

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Adopting Biometric Technology: Challenges and Solutions

produced for mass application. Biometrics, while intriguing, is often broached with hesitation and poor understanding. Adopting Biometric;

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Adopting Biometric Technology: Challenges and Solutions

produced for mass application. Biometrics, while intriguing, is often broached with hesitation and poor understanding. Adopting Biometric;

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Voice Biometrics

biometrics and artificial intelligence methods. Voice biometrics products and solutions must meet three key requirements for the success in their;

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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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Pattern Recognition, Machine Intelligence and Biometrics

recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The;

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Pattern Recognition, Machine Intelligence and Biometrics

recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The;

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Behavioral Biometrics

interface using EEG technology and may one day enable human-machine interaction via brainwave patterns; describes the central applications for the;

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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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Biometric and Auditing Issues Addressed in a Throughput Model

in employing biometric technology and pinpoints avenues for future research. Biometrics is the examination of measurable biological characteristics;

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Biometric and Auditing Issues Addressed in a Throughput Model

in employing biometric technology and pinpoints avenues for future research. Biometrics is the examination of measurable biological characteristics;

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