Leveraging Computer Vision to Biometric Applications

電腦視覺在多種現實應用中是一個有效的解決方案。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

Arvind Selwal自2013年以來擔任印度查謨與克什米爾中央大學計算機科學與資訊技術系的助理教授。他擁有計算機科學學士（BTech）、計算機科學碩士（MTech）及計算機科學博士（PhD）學位，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、數位影像處理、輕量級加密技術、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，並且是多本由知名出版社如Springer、Elsevier和IEEE出版的國際期刊的審稿人。他指導過1位博士生和21位碩士生，目前正在指導4位博士生和5位碩士生。他著有一本名為《Automata Theory and Computation Fundamentals》的書籍，並擔任由Taylor & Francis出版的《Data Science and Innovations for Intelligent Systems Computational Excellence and Society 5.0》的共同編輯。除了在許多知名工作坊/FDPS中擔任資源人員外，他也是一位熱衷學習者，透過持續參加知名國際會議/工作坊來提升自己的技能。他是印度計算機學會（CSI）的活躍成員。目前，他正在承接兩個由印度國防部（DRDO）資助的計算安全研究項目，擔任首席研究員/共同研究員。

Deepika Sharma是印度查謨中央大學計算機科學與資訊技術系的活躍研究者，專注於生物識別安全領域。她在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資訊技術系獲得計算機應用碩士（MCA）學位。在此之前，她於2014年在查謨大學獲得計算機應用學士（BCA）學位。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。

Mukesh Mann是印度索尼帕特印度資訊技術學院（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（PhD）學位，並在同一所大學獲得計算機科學與工程碩士（MTech）學位。他在庫魯克舍特拉大學完成了計算機科學與工程的學士（BTech）學位。他的研究興趣包括資訊安全、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國內外會議上發表了超過30篇研究文章。他是印度政府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，以支持其研究與發展工作。

Sudeshna Chakraborty是計算機學院的研究小組負責人和教授。