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Titlebook: Biometric Security and Privacy; Opportunities & Chal Richard Jiang,Somaya Al-maadeed,Azeddine Beghdadi Book 2017 Springer International Pub

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期刊全称Biometric Security and Privacy
期刊简称Opportunities & Chal
影响因子2023Richard Jiang,Somaya Al-maadeed,Azeddine Beghdadi
视频video
发行地址Includes advances on biometric recognition and fusion, such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning;.Addresses new challenges arising from big data, low-qu
学科分类Signal Processing for Security Technologies
图书封面Titlebook: Biometric Security and Privacy; Opportunities & Chal Richard Jiang,Somaya Al-maadeed,Azeddine Beghdadi Book 2017 Springer International Pub
影响因子.This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth..
Pindex Book 2017
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书目名称Biometric Security and Privacy影响因子(影响力)




书目名称Biometric Security and Privacy影响因子(影响力)学科排名




书目名称Biometric Security and Privacy网络公开度




书目名称Biometric Security and Privacy网络公开度学科排名




书目名称Biometric Security and Privacy被引频次




书目名称Biometric Security and Privacy被引频次学科排名




书目名称Biometric Security and Privacy年度引用




书目名称Biometric Security and Privacy年度引用学科排名




书目名称Biometric Security and Privacy读者反馈




书目名称Biometric Security and Privacy读者反馈学科排名




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Improving Biometric Identification Performance Using PCANet Deep Learning and Multispectral Palmpriical or behavioral characteristic that the person possesses. In the last few years, several works in the field of biometrics got to improve the identification system performance rather than the traditional methods. So far, with the pace of rapid evolution in these works, new biometric modality (palm
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Biometric Acoustic Ear Recognition,he many aspects within acoustic ear recognition, and based on the most influential ones, make attempts on deducing well performing recognition systems. Fifty subjects have participated in experiments collecting biometric samples. The measuring device composed of a pair of headphones with an integrat
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Improved Model-Free Gait Recognition Based on Human Body Part, various intra-class variations such as clothing variations, carrying conditions, and angle variations that adversely affect the recognition performance. This chapter proposes a method to select the most discriminative human body part based on group Lasso of motion to reduce the intra-class variatio
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Smartphone User Authentication Using Touch Dynamics in the Big Data Era: Challenges and Opportuniting a touchscreen. Thus, more research studies started focusing on touch dynamics and its applications on user authentication. Generally, touch dynamics can be described as the characteristics of the inputs received from a touchscreen when a user is interacting with a device (e.g., a touchscreen mobi
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Non-cooperative and Occluded Person Identification Using Periocular Region with Visible, Infra-Red,se occlusions may be unintentional due to the use of different items such as head gear, headphone, head scarf, or may also be caused by the style of clothing or just hair style. Intentional facial occlusions occur when a particular person try to hide his identity by hiding his face and appearance fr
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