1st Edition
Leveraging Computer Vision to Biometric Applications
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in the computer vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate biometric-based systems, which is a key issue that can be tackled via computer vision-based techniques
• Discussed real-life applications of emerging techniques in computer vision systems
• Offer solutions on real-time computer vision and biometrics applications to cater to current industry problems
• Presents case studies to offer ideas for developing new biometrics-based products
• Offers problem-based solutions in the field of building construction, electrical, electronic engineering and management.
• Works as a ready resource for professionals and scholars working on emerging topics of computer vision for biometrics.
The book is for Academic researchers, scholars and students in Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, Management, academicians, researchers, scientists and industry people working on computer vision and biometrics applications.
Preface
Editor Biographies
List of Contributors
1. Biometrics: Introduction and Applications
Deepika Sharma and Arvind Selwal
2. An Overview to Existing Biometric Technologies and Future Directions
Annu Sharma, Praveena Chaturvedi, Neha Singhal, Nandini.c, Pavan Kumar B.K
3. Examining The Vulnerabilities of Biometric Systems: Privacy and Security Perspectives
Tajinder Kumar, Shashi Bushan, Pooja Sharma, Vishal Garg
4. Biometric Systems Security and Privacy Issues
Sunil Kumar
5. Enhancing Computer Vision Enabled Biometric Applications: Current Trend, Challenges and Future Opportunities
Chinu Singla
6. MFDLD: MULTISCALE FUSED DISCRIMINANT LOCAL DESCRIPTOR FOR FACE RECOGNITION
Shekhar Karanwal
7. The Facial FACADE: Development, Relevance and Examination of Facial Imagery in Forensic Science
Navjot Kaur Kanwal, Kuldeep U. Kanwal, Silpa Nair
8. A Hybrid Deep Feature Selection Framework for Speaker Accent Recognition
Rajdeep Bhadra, Mridhu Sahu, Maroi Agrebi, Pawan Kumar Singh, Youakim Badr
9. Secure Transactions in Animal Biometric Assessment
Ambika Nagaraj
10. Novel Efficient Approach that Enhances Security Over Biometric Systems using Computer Vision Techniques
S. Hrushikesava Raju, Shaik Jumlesha, U. Sesadri, Ashok Koujalagi, S. Adinarayna, N. Merrin Prasanna
11. Enhancing Face Anti-Spoofing with Three- Stream CNNs: Leveraging Color Space Analysis
Satish Kumar, Tsleem Arif
12. Computer -Vision Techniques for Video Analysis
Ambreen Sabha, Arvind Selwal
13. An Efficient and Robust Iris Spoof Detection Pipeline Via Optimized Deep Features.
Zeenat Zahra, Arvind Selwal, Deepika Sharma
14. Advancements in Computer Vision for Biometrics Enhancing Security and Identification
Vivek Upadhyaya
15. Digital Forensics and its Applications
Gulshan Goyal, Ankita Sharma, Kashishpreet Kaur, Shivam Kumar
16. Fingerprint Security and the Internet of Things (IOT) in the Digital Era
Neha Sharma, Pankaj Kumar
Biography
Arvind Selwal works as Assistant Professor in the Department of Computer Science and Information Technology, Central University of Jammu, Jammu & Kashmir, India since 2013. 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 65 research articles in various reputed International journals/conference proceedings/book chapters. He also serves as a reviewer of several international Journals that are published by reputed publishers such Springer, Elsevier, IEEE and etc. He has supervised 01 Ph.D and 21 M.Tech students and currently supervising 04 Ph.D. scholars 05 M.Tech Students 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 received her Master degree in Computer Applications (MCA) from Department of Computer Science and Information Technology, Central University of Jammu, Jammu and Kashmir, India in the year 2017. Prior to that, She has completed her Bachelor of Computer Applications (BCA) from 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 15 research articles in reputed international journals that are indexed in SCI/ Scopus databases and conferences. Mukesh Maan is working as Assistant Professor, Indian Institute of Information Technology (IIIT), Sonepat, India. He received his Ph.D. (Computer Science and Engineering) from Gautam Budha University. He obtained his M.Tech degree from Gautam Budha University in Computer Science and Engineering. He has completed his B.Tech from Kuruskhetra 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. Sudeshna Chakraborty is 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 is Ph. D 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 also distinguished Academician at 2020-21 Sharda University, best Speaker in Institute of Engineers on Engineer's Day. Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 400 research papers in refereed journals and International Conferences. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to the International Journal of Computational Systems Engineering (IJCSysE). Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. Ouh Eng Lieh obtained his Ph.D. 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.
