Leveraging Computer Vision to Biometric Applications
暫譯: 利用電腦視覺於生物識別應用

電腦視覺是多種現實應用中的有效解決方案。隨著機器學習和深度學習範式的興起，本書採用了機器學習和深度學習算法，利用數位影像處理來設計準確的生物識別應用。對於任何從事電腦視覺工作的人來說，這是一本必讀的書籍。

Arvind Selwal has been an as Assistant Professor in the Department of Computer Science and Information Technology, Central University of Jammu, Jammu & Kashmir, India since 2013. He holds a BTech (CSE), MTech (CSE), and PhD (CSE) degrees as well as being qualified for UGC-NET (Assistant Professor) three times and GATE four times. He has more than 12 years of experience in teaching and research. His research interests include biometric security, cyber security, pattern recognition, digital image processing, lightweight cryptography, machine learning, and soft computing. He has contributed more than 72 research articles in various reputed international journals/conference proceedings/ book chapters that are indexed in databases such as Web of Science, Scopus, and DBLP. He has served as a member of the technical program committee (TPC) at many reputed international conferences. He also serves as a reviewer of several international journals that are published by reputed publishers such as Springer, Elsevier, and IEEE. He has supervised 1 PhD and 21 MTech students and currently supervising 4 PhD scholars and 5 MTech students. He has authored a book titled Fundamentals of Automata Theory and Computation and co-editor of a book titled Data Science and Innovations for Intelligent Systems Computational Excellence and Society 5.0 by Taylor & Francis. Besides being a resource person in many reputed workshops/FDPS, he is also a keen learner and enhances his skills by continuously participating in reputed international conferences/workshops. He is an active member of the Computer Society of India (CSI). Presently, he is undertaking two research projects as PI/Co-PI on the topic of computational security from funding agencies like DRDO, Ministry of Defence (Government of India), New Delhi, India.

Deepika Sharma is an active researcher in the Department of Computer Science and Information Technology, Central University of Jammu, India, in the field of Biometrics Security. She has completed her PhD from the Central University of Jammu, India, in the field of Biometrics Security. She received her master's degree in computer applications (MCA) from the Department of Computer Science and Information Technology, Central University of Jammu, Jammu and Kashmir, India, in the year 2017. Prior to that, she completed her Bachelor of Computer Applications (BCA) from the University of Jammu in 2014. Her research interests include biometric security, computer vision pattern recognition, machine learning, and deep learning. She has contributed more than 21 research articles in reputed international journals that are indexed in SCI/ Scopus databases and conferences. She has cleared UGC-NET exam and SET (J&K) exam once. She filed an Indian patent in 2022.

Mukesh Mann is an Assistant Professor, Indian Institute of Information Technology (IIIT), Sonipat, India. He earned his PhD (Computer Science and Engineering) from Gautam Budha University. He earned his MTech degree from Gautam Budha University in Computer Science and Engineering. He has completed his BTech from Kurukshetra University in Computer Science and Engineering. His research interests include information security, computer vision blockchain, machine learning, and deep learning. He has contributed more than 30 research articles in reputed international journals that are indexed in SCI/Scopus databases and reputed national/international conferences. He is a recipient of the Direct Senior Research Fellow award in Computer Science and Engineering by the Council of Scientific and Industrial Research, Govt. of India. He was also awarded the Junior Research Fellowship award and the Senior Research Fellow award by the University Grant Commission (UGC), Govt. of India, for research and development.

Sudeshna Chakraborty is a research group leader and professor at the School of Computing Science & Engineering, Galgotias University, Greater Noida, India. She is an experienced academician in the field of Computer Science. She has a PhD in Computer Science & Engineering in Semantic Web Engineering, has versatile experience in industry and academics with the recipient of best IT faculty at INC Hyderabad, and was also a distinguished Academician in 2020-2021 at Sharda University. Dr. Chakraborty has earned several other awards for the best paper presented, keynote speaker, reviewer's committee, session chairs, highest cited author, and many others. She was the recipient of the Outstanding Academician Award in 2020 and Research Excellence Award and the Academician's Award by the Institute of Scholars in 2021 and Nikhil Bhartiya Parishad Shiksha Parishad in 2022. She chaired the IEEE conference in Paris ICACCE in 2018 and the Springer conference in Spain. She was the recipient of the Best Speaker Award on Roles & Trends of Engineers on Engineering Day by the Institution of Engineers of India. She has been instrumental in various industrial interfacing for academic and research at her previous assignments at various organizations (Manav Rachna University, Mumbai University, Lingaya's, and others). She has 75+ publications in Scopus Indexed/SCI/high-impact journals and international conferences, 18 patents published, and 4 granted. Dr. Chakraborty is guiding various PhD students at the university. She has successfully guided several PG and UG students; additionally, she has contributed to various prestigious accreditations like NAAC, NBA, QAA, WASC, UGC, IAU, IET, and others.

Valentina E. Balas is a Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a PhD Cum Laude in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 400 research papers. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, and modeling and simulation. She is the Editor-in-Chief to IJAIP and IJCSysE journals in Inderscience, a member of the editorial board of several national and international journals, and evaluator expert for national and international projects and PhD thesis. Dr. Balas is the Director of the Intelligent Systems Research Centre and Director of the Department of International Relations at Aurel Vlaicu University of Arad. During the interval 2021-2022, she was a member of the IEEE European Public Policy Committee Working Group on ICT. From May 2023, Dr. Balas is an associate member of the Romanian Academy of Scientists. She is the recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions to the field of soft computing methods (2019), "Stefan Odobleja" Prize from the Romanian Academy of Scientists (2023), and Diploma - Section Information Technology from The General Association of the Engineers in Romania (AGIR) 2023.

Ouh Eng Lieh earned his PhD in Computer Science (Software Engineering) from the National University of Singapore. He is currently involved in undergraduate education as Assistant Professor of Information Systems (Education) at the School of Computing and Information Systems, Singapore Management University. His research interests are in software reuse and education pedagogy. He served as a member of the program committee of several conferences and has numerous publications in the software engineering, computer science, and information systems education conferences. He is involved in several largescale information technology industry projects for a decade before joining academia as an educator. His research areas are software

阿爾文·塞爾瓦爾自2013年以來一直擔任印度查謨中央大學計算機科學與信息技術系的助理教授。他擁有計算機科學（CSE）學士學位（BTech）、碩士學位（MTech）和博士學位（PhD），並且三次通過UGC-NET（助理教授）考試和四次通過GATE考試。他在教學和研究方面擁有超過12年的經驗。他的研究興趣包括生物識別安全、網絡安全、模式識別、數字圖像處理、輕量級加密、機器學習和軟計算。他在各種知名國際期刊、會議論文集和書籍章節中發表了超過72篇研究文章，這些文章被Web of Science、Scopus和DBLP等數據庫索引。他曾擔任多個知名國際會議的技術程序委員會（TPC）成員。他還擔任多個由知名出版商如Springer、Elsevier和IEEE出版的國際期刊的審稿人。他已指導1名博士生和21名碩士生，並目前指導4名博士生和5名碩士生。他著有一本名為自動機理論與計算基礎的書籍，並擔任由Taylor & Francis出版的書籍《數據科學與智能系統的創新：計算卓越與社會5.0》的共同編輯。除了在許多知名研討會/培訓班中擔任資源人員外，他還是一位熱衷學習者，通過持續參加知名國際會議/研討會來提升自己的技能。他是印度計算機學會（CSI）的活躍成員。目前，他正在承擔兩個由印度國防部（DRDO）資助的計算安全主題的研究項目，擔任首席研究員/共同研究員。

迪皮卡·夏爾瑪是印度查謨中央大學計算機科學與信息技術系的活躍研究者，專注於生物識別安全領域。她在印度查謨中央大學完成了生物識別安全領域的博士學位。她於2017年在查謨中央大學計算機科學與信息技術系獲得計算機應用碩士學位（MCA）。在此之前，她於2014年在查謨大學獲得計算機應用學士學位（BCA）。她的研究興趣包括生物識別安全、計算機視覺模式識別、機器學習和深度學習。她在被SCI/Scopus數據庫索引的知名國際期刊和會議上發表了超過21篇研究文章。她通過了UGC-NET考試和SET（J&K）考試一次。她於2022年申請了一項印度專利。

穆克什·曼是印度索尼帕特印度信息技術學院（IIIT）的助理教授。他在高塔姆·布達大學獲得計算機科學與工程博士學位。他在高塔姆·布達大學獲得計算機科學與工程碩士學位（MTech）。他在庫魯克舍特拉大學完成了計算機科學與工程的學士學位（BTech）。他的研究興趣包括信息安全、計算機視覺區塊鏈、機器學習和深度學習。他在被SCI/Scopus數據庫索引的知名國際期刊和知名國內/國際會議上發表了超過30篇研究文章。他是印度科學與工業研究委員會頒發的計算機科學與工程直接高級研究員獎的獲得者。他還曾獲得印度大學資助委員會（UGC）頒發的初級研究獎學金和高級研究獎學金，以表彰其在研究和開發方面的貢獻。

蘇德什納·查克拉博提是印度大諾伊達加爾戈提亞大學計算科學與工程學院的研究小組負責人和教授。她在計算機科學領域是一位經驗豐富的學者。她擁有計算機科學與工程的博士學位，專攻語義網工程，並在行業和學術界擁有多元化的經驗，曾獲得海德拉巴INC最佳IT教師獎，並於2020-2021年在沙達大學被評為傑出學者。查克拉博提博士獲得了多個最佳論文獎、主題演講者、審稿委員會、會議主席、被引用次數最高的作者等多項獎項。她於2020年獲得傑出學者獎，2021年獲得研究卓越獎和學者獎，2022年獲得尼基爾·巴爾蒂亞·帕里薩德教育委員會獎。她於2018年在巴黎的IEEE會議和西班牙的Springer會議上擔任主席。她曾獲得印度工程師協會工程日的最佳演講者獎，主題為工程師的角色與趨勢。她在之前的多個組織（如馬納夫·拉奇納大學、孟買大學、林蓋亞等）中，對學術和研究的各種產業對接發揮了重要作用。她在Scopus索引/SCI/高影響力期刊和國際會議上發表了75篇以上的出版物，發表了18項專利，並獲得了4項專利。查克拉博提博士正在指導多名博士生。她成功指導了多名碩士和本科生，並為NAAC、NBA、QAA、WASC、UGC、IAU、IET等多個知名認證做出了貢獻。

瓦倫蒂娜·E·巴拉斯是羅馬尼亞阿拉德‘奧雷爾·弗拉伊庫’大學自動化與應用軟件系的教授。她擁有提米什瓦拉理工大學應用電子學和電信的優等博士學位。巴拉斯博士是400多篇研究論文的作者。她的研究興趣包括智能系統、模糊控制、軟計算、智能傳感器、信息融合以及建模與仿真。她是IJAIP和IJCSysE期刊的主編，並擔任多個國內外期刊的編輯委員會成員，以及國家和國際項目及博士論文的評估專家。巴拉斯博士是智能系統研究中心的主任，也是阿拉德‘奧雷爾·弗拉伊庫’大學國際關係系的主任。在2021-2022年期間，她是IEEE歐洲公共政策委員會ICT工作組的成員。自2023年5月起，巴拉斯博士成為羅馬尼亞科學家學院的副會員。她曾獲得羅馬尼亞科學院頒發的‘圖多爾·塔納塞斯庫’獎，以表彰其在軟計算方法領域的貢獻（2019年）、羅馬尼亞科學家學院的‘斯特凡·奧多布列亞’獎（2023年）以及2023年羅馬尼亞工程師總協會（AGIR）信息技術部門的文憑。

歐恩·英·列在新加坡國立大學獲得計算機科學（軟件工程）博士學位。他目前擔任新加坡管理大學計算與信息系統學院的助理教授，專注於本科教育。他的研究興趣包括軟件重用和教育教學法。他曾擔任多個會議的程序委員會成員，並在軟件工程、計算機科學和信息系統教育會議上發表了多篇論文。在加入學術界成為教育者之前，他參與了多個大型信息技術行業項目，長達十年。