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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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發(fā)表于 2025-3-21 19:48:17 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Biometric Security and Privacy
期刊簡稱Opportunities & Chal
影響因子2023Richard Jiang,Somaya Al-maadeed,Azeddine Beghdadi
視頻videohttp://file.papertrans.cn/189/188181/188181.mp4
發(fā)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
學(xué)科分類Signal Processing for Security Technologies
圖書封面Titlebook: Biometric Security and Privacy; Opportunities & Chal Richard Jiang,Somaya Al-maadeed,Azeddine Beghdadi Book 2017 Springer International Pub
影響因子.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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書目名稱Biometric Security and Privacy影響因子(影響力)




書目名稱Biometric Security and Privacy影響因子(影響力)學(xué)科排名




書目名稱Biometric Security and Privacy網(wǎng)絡(luò)公開度




書目名稱Biometric Security and Privacy網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biometric Security and Privacy被引頻次




書目名稱Biometric Security and Privacy被引頻次學(xué)科排名




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書目名稱Biometric Security and Privacy年度引用學(xué)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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