| 书目名称 | Handbook of Remote Biometrics |
| 副标题 | for Surveillance and |
| 编辑 | Massimo Tistarelli (Prof.),Stan Z. Li,Rama Chellap |
| 视频video | |
| 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 |
| 丛书名称 | Advances in Computer Vision and Pattern Recognition |
| 图书封面 |  |
| 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 |
| 关键词 | 3D; algorithms; biometrics; fingerprint; fingerprint recognition; learning; machine learning; verification |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-84882-385-3 |
| isbn_softcover | 978-1-4471-2670-6 |
| isbn_ebook | 978-1-84882-385-3Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
| issn_series | 2191-6586 |
| copyright | Springer-Verlag London 2009 |
发表于 2025-3-21 17:09:09
