Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail
Liu, Feng, Zhao, Qijun, Zhang, David
- 出版商: Springer
- 出版日期: 2020-05-23
- 售價: $3,300
- 貴賓價: 9.5 折 $3,135
- 語言: 英文
- 頁數: 214
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9811541272
- ISBN-13: 9789811541278
-
相關分類:
3D 列印、人工智慧、Computer Vision
立即出貨 (庫存=1)
相關主題
商品描述
Fingerprints are among the most widely used biometric modalities and have been successfully applied in various scenarios. For example, in forensics, fingerprints serve as important legal evidence; and in civilian applications, fingerprints are used for access and attendance control as well as other identity services. Thanks to advances in three-dimensional (3D) and high-resolution imaging technology, it is now feasible to capture 3D or high-resolution fingerprints to provide extra information and go beyond the traditional features such as global ridge patterns and local ridge singularities used in conventional fingerprint recognition tasks.
This book presents the state of the art in the acquisition and analysis of 3D and high-resolution fingerprints. Based on the authors' research, this book focuses on advanced fingerprint recognition using 3D fingerprint features (i.e., finger shape, level 0 features) or high-resolution fingerprint features (i.e., ridge detail, level 3 features). It is a valuable resource for researchers, professionals and graduate students working in the field of computer vision, pattern recognition, security/biometrics practice, as well as interdisciplinary researchers.
商品描述(中文翻譯)
指紋是最廣泛使用的生物特徵之一，並已成功應用於各種場景。例如，在法醫學中，指紋作為重要的法律證據；在民用應用中，指紋用於存取和考勤控制以及其他身份服務。由於三維（3D）和高分辨率成像技術的進步，現在可以捕捉3D或高分辨率指紋，提供額外的信息，超越傳統指紋識別任務中使用的全局脊紋模式和局部脊紋奇異點等傳統特徵。
本書介紹了3D和高分辨率指紋的獲取和分析的最新技術。基於作者的研究，本書重點介紹了使用3D指紋特徵（即指紋形狀，0級特徵）或高分辨率指紋特徵（即脊紋細節，3級特徵）的先進指紋識別。這是一本對於計算機視覺、模式識別、安全/生物識別實踐以及跨學科研究的研究人員、專業人士和研究生非常有價值的資源。
作者簡介
Feng Liu is currently an Assistant Professor at the School of Computer Science & Software Engineering, Shenzhen University. She received her Ph.D. degree from the Department of Computing at the Hong Kong Polytechnic University in 2014. Her research interests include pattern recognition and image processing, with a particular focus on fingerprints.
Qijun Zhao received his Ph.D. from The Hong Kong Polytechnic University in 2010; his M.Sc. and B.Sc. from Shanghai Jiao Tong University in 2003 and 2006, respectively; and completed his postdoc at Michigan State University in 2010-2012. He is a Professor at Sichuan University's College of Computer Science, and a Visiting Professor at the School of Information Science and Technology at Tibet University (2019-2020). His research is in the fields of pattern recognition, image processing, computer vision and biometrics.
David Zhang is a Presidential Chair Professor at the Chinese University of Hong Kong (Shenzhen). He was a Chair Professor at the Hong Kong Polytechnic University, where he has been the Founding Director of the Biometrics Research Centre (UGC/CRC), supported by the Hong Kong SAR Government, since 2005. Currently he also serves as Visiting Chair Professor at Tsinghua University and HIT, and Adjunct Professor at Shanghai Jiao Tong University, Peking University, National University of Defense Technology and the University of Waterloo. Over the past 40 years, he has worked on pattern recognition, image processing and biometrics, and has received various awards for his research developments, including palmprint recognition, computerized TCM and facial beauty analysis. Prof. Zhang is one of the best-known international experts in the field of biometrics and he has published over 20 monographs, 480 international journal papers and 40 patents in USA/Japan/HK/China. He was listed as a Highly Cited Researcher in Engineering by Clarivate Analytics in 2014, 2015, 2016, 2017 and 2018, respectively. He is also ranked about 80 in the top 1,000 scientists for international computer science and electronics. Professor Zhang is a Croucher Senior Research Fellow, Distinguished Speaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.
作者簡介(中文翻譯)
Feng Liu目前是深圳大學計算機科學與軟件工程學院的助理教授。她於2014年在香港理工大學計算機系獲得博士學位。她的研究興趣包括模式識別和圖像處理，尤其關注指紋識別。
Qijun Zhao於2010年在香港理工大學獲得博士學位，並於2003年和2006年分別在上海交通大學獲得碩士和學士學位。他在2010年至2012年期間在密歇根州立大學進行博士後研究。他是四川大學計算機學院的教授，並且是西藏大學信息科學與技術學院的訪問教授（2019-2020）。他的研究領域包括模式識別、圖像處理、計算機視覺和生物特徵識別。
David Zhang是香港中文大學（深圳）的特聘教授。他曾是香港理工大學的特聘教授，並自2005年起擔任香港特區政府支持的生物特徵識別研究中心（UGC/CRC）的創始主任。目前他還擔任清華大學和哈爾濱工業大學的訪問特聘教授，以及上海交通大學、北京大學、國防科技大學和滑鐵盧大學的兼職教授。在過去的40年中，他一直從事模式識別、圖像處理和生物特徵識別的研究，並因其在手掌識別、計算中醫和面部美學分析等方面的研究成果獲得多項獎項。張教授是生物特徵識別領域中最知名的國際專家之一，他在美國、日本、香港和中國發表了20多本專著、480篇國際期刊論文和40項專利。他分別於2014年、2015年、2016年、2017年和2018年被Clarivate Analytics評為工程領域的高被引研究者。他還在國際計算機科學和電子學領域的前1000位科學家中排名約80位。張教授是Croucher高級研究員、IEEE計算機學會的傑出演講者，並且是IEEE和IAPR的會士。
