Selfie Biometrics: Advances and Challenges
暫譯: 自拍生物識別技術：進展與挑戰
Rattani, Ajita, Derakhshani, Reza, Ross, Arun
- 出版商: Springer
- 出版日期: 2020-10-02
- 售價: $4,600
- 貴賓價: 9.5 折 $4,370
- 語言: 英文
- 頁數: 380
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030269744
- ISBN-13: 9783030269746
海外代購書籍(需單獨結帳)
商品描述
This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community.
However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones.
Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.
商品描述(中文翻譯)
這本書突顯了自拍生物識別技術的領域，提供了清晰的概述，並介紹了最近的進展和挑戰。它還討論了許多在行動裝置上的自拍身份驗證技術。使用行動裝置的生物識別身份驗證正逐漸成為一種方便且重要的身份驗證方式，以確保安全訪問和服務，例如網路銀行和電子交易。在這個背景下，面部和眼部生物識別技術在可見光譜中的研究受到越來越多的關注。
然而，裝置的移動性和在不受控制環境中的操作意味著，使用行動裝置捕捉的面部和眼部影像因不良的光照條件、鏡面反射以及運動和失焦模糊而顯示出顯著的劣化。此外，前置行動相機的低空間解析度和小型感測器進一步降低了樣本質量，減少了面部和眼部識別技術在智慧型手機中整合時的識別準確性。
本書展示了行動生物識別研究和技術的最新進展，並提供了在行動裝置中實時整合生物識別技術的潛在問題概述，是計算機工程各領域的最後一年本科生、研究生、工程師、研究人員和學者的寶貴資源。
作者簡介
Ajita Rattani is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Wichita State University since 2019. Prior to this, she was an Adjunct Graduate Faculty at University of Missouri- Kansas City. She did her Post-doctoral and PhD. studies from Michigan State University and University of Cagliari, Italy, respectively. Her field of research is Biometrics, Machine Learning, Deep Learning, Image Processing and Computer Vision. She is the co-editor of the Springer book titled "Adaptive Biometric Systems: Recent Advances and Challenges". She has received number of best paper awards at IEEE international conferences and is an editorial board member of IEEE Biometrics Council.
Reza Derakhshani is an Associate Professor of Computer Science and Electrical Engineering at University of Missouri, Kansas City. He is also the Chief Scientist and technology inventor at EyeVerify (now ZOLOZ), a Kansas City biometric startup that was acquired by Alibaba's Ant Financial in 2016. He earned his Ph.D. and Master's degrees in Computer and Electrical Engineering from West Virginia University. Dr. Derakhshani's research interests are in biometrics, computational imaging, and biomedical signal and image processing using computational intelligence paradigms. His work has been sponsored by private industry and various state and federal agencies, and has resulted in many publications and issued U.S. and international patents.
Arun Ross is a Professor in the Department of Computer Science and Engineering at Michigan State University. Prior to joining MSU, he was a faculty member at West Virginia University. He is the coauthor of the books "Introduction to Biometrics" and "Handbook of Multibiometrics". He is a recipient of the JK Aggarwal Prize and the Young Biometrics Investigator Award from the International Association of Pattern Recognition for his contributions to the field of Pattern Recognition and Biometrics. He was designated a Kavli Fellow by the US National Academy of Sciences by virtue of his presentation of the 2006 Kavli Frontiers of Sciences Symposium.
作者簡介(中文翻譯)
Ajita Rattani 自2019年以來擔任威奇塔州立大學電機工程與計算機科學系的助理教授。在此之前，她是密蘇里州堪薩斯市大學的兼任研究生教員。她在密西根州立大學和意大利卡利亞里大學分別完成了博士後研究和博士學位。她的研究領域包括生物識別技術、機器學習、深度學習、影像處理和計算機視覺。她是施普林格出版社書籍《自適應生物識別系統：近期進展與挑戰》的共同編輯。她在IEEE國際會議上獲得多項最佳論文獎，並且是IEEE生物識別委員會的編輯委員會成員。
Reza Derakhshani 是密蘇里州堪薩斯市大學計算機科學與電機工程的副教授。他同時也是EyeVerify（現為ZOLOZ）的首席科學家和技術發明人，這是一家於2016年被阿里巴巴的螞蟻金服收購的堪薩斯市生物識別初創公司。他在西維吉尼亞大學獲得計算機與電機工程的博士和碩士學位。Derakhshani博士的研究興趣包括生物識別技術、計算成像以及使用計算智能範式的生物醫學信號和影像處理。他的研究工作得到了私營行業和各州及聯邦機構的資助，並產生了許多出版物和已發放的美國及國際專利。
Arun Ross 是密西根州立大學計算機科學與工程系的教授。在加入MSU之前，他曾是西維吉尼亞大學的教員。他是《生物識別技術導論》和《多重生物識別手冊》兩本書的共同作者。他因對模式識別和生物識別領域的貢獻而獲得JK Aggarwal獎和國際模式識別協會的青年生物識別研究者獎。他因在2006年Kavli科學前沿研討會上的演講而被美國國家科學院指定為Kavli Fellow。
