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Titlebook: Handbook of Remote Biometrics; for Surveillance and Massimo Tistarelli (Prof.),Stan Z. Li,Rama Chellap Book 2009 Springer-Verlag London 200

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發(fā)表于 2025-3-21 17:09:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Handbook of Remote Biometrics
副標(biāo)題for Surveillance and
編輯Massimo Tistarelli (Prof.),Stan Z. Li,Rama Chellap
視頻videohttp://file.papertrans.cn/423/422081/422081.mp4
概述First edited book on Biometrics for surveillance and remote data acquisition.Focuses on the acquiring of data from a distance and processing low resolution data and in motion.Examines distributed comp
叢書(shū)名稱Advances in Computer Vision and Pattern Recognition
圖書(shū)封面Titlebook: Handbook of Remote Biometrics; for Surveillance and Massimo Tistarelli (Prof.),Stan Z. Li,Rama Chellap Book 2009 Springer-Verlag London 200
描述The development of technologies for the identi?cation of individuals has driven the interest and curiosity of many people. Spearheaded and inspired by the Bertillon coding system for the classi?cation of humans based on physical measurements, scientists and engineers have been trying to invent new devices and classi?cation systems to capture the human identity from its body measurements. One of the main limitations of the precursors of today’s biometrics, which is still present in the vast majority of the existing biometric systems, has been the need to keep the device in close contact with the subject to capture the biometric measurements. This clearly limits the applicability and convenience of biometric systems. This book presents an important step in addressing this limitation by describing a number of methodologies to capture meaningful biometric information from a distance. Most materials covered in this book have been presented at the International Summer School on Biometrics which is held every year in Alghero, Italy and which has become a ?agship activity of the IAPR Technical Committee on Biometrics (IAPR TC4). The last four chapters of the book are derived from some of t
出版日期Book 2009
關(guān)鍵詞3D; algorithms; biometrics; fingerprint; fingerprint recognition; learning; machine learning; verification
版次1
doihttps://doi.org/10.1007/978-1-84882-385-3
isbn_softcover978-1-4471-2670-6
isbn_ebook978-1-84882-385-3Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer-Verlag London 2009
The information of publication is updating

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