Multimodal Biometric and Machine Learning Technologies: Applications for Computer Vision

This book provides relevant information on multimodal biometric and machine learning technologies in order to help researchers and engineers from the industry who wish to know more about real-time applications. It focuses on how humans and computers interact to ever-increasing levels of complexity as well as simplicity. The book provides content on the theory of multimodal biometric design, evaluation, and user diversity, and aims to explain the underlying causes of the social and organizational problems that are typically devoted to descriptions of rehabilitation methods for specific processes. Furthermore, this book describes new algorithms for modeling accessible to scientists of all varieties.

Sandeep Kumar, PhD, is a professor in Computer Science & Engineering, Koneru Lakshmaiah Educational Foundation, India. He has published more than 150 journal articles and conference papers, 20 patents, and 13 authored books. Dr. Kumar's research spans biometrics, computer vision, genomics, and deep learning. His significant contributions have earned him prestigious accolades, including "Best Paper Presentation" awards in Nepal and India in 2017 and 2018, as well as the esteemed "Young Researcher Award" received in Thailand in 2018.

Deepika Ghai, PhD, is an assistant professor at Lovely Professional University, India. She has published more than 35 research papers in refereed journals and conferences. Her area of expertise includes biomedical signal and image processing and VLSI signal processing. She received the Dr. C.B. Gupta Award in 2021 at Lovely Professional University.

Arpit Jain, PhD, is a professor at the Koneru Lakshmamai University Education Foundation, Vijayawada, A.P., India. He has published more than 40 research papers in international journals, filed 25+ patents as well as authored/edited five books. His research areas include digital image processing, object detection, and chip implementation.

Suman Lata Tripathi, PhD, is a professor at Lovely Professional University with more than 21 years of experience in academics. She has published more than 103 research papers in refereed journals and conferences. She has organized several workshops, summer internships, and expert lectures for students, and she has worked as a session chair, conference steering committee member, editorial board member, and reviewer for IEEE journals and conferences. She has published three books and currently has multiple volumes scheduled for publication from Wiley-Scrivener.

Shilpa Choudhary, PhD, is an associate professor in the Neil Gogte Institute of Technology, Hyderabad, India, and specializing in computer science & engineering. She has authored seven books, more than 50 journal articles conference papers, as well as 14 patents. Her research interests span a diverse spectrum, encompassing areas such as computer vision, machine learning, genomics, and image processing.

Sandeep Kumar博士是印度Koneru Lakshmaiah Educational Foundation的計算機科學與工程學教授。他發表了150多篇期刊文章和會議論文，擁有20項專利和13本著作。Kumar博士的研究涵蓋生物特徵、計算機視覺、基因組學和深度學習。他的重要貢獻獲得了多個殊榮，包括2017年和2018年在尼泊爾和印度獲得的“最佳論文報告”獎，以及2018年在泰國獲得的傑出“年輕研究者獎”。

Deepika Ghai博士是印度Lovely Professional University的助理教授。她在被審查的期刊和會議上發表了35多篇研究論文。她的專業領域包括生物醫學信號和圖像處理以及VLSI信號處理。她在2021年在Lovely Professional University獲得了C.B. Gupta博士獎。

Arpit Jain博士是印度Koneru Lakshmamai University Education Foundation的教授。他在國際期刊上發表了40多篇研究論文，申請了25多項專利，並編寫/編輯了五本書。他的研究領域包括數字圖像處理、物體檢測和芯片實現。

Suman Lata Tripathi博士是Lovely Professional University的教授，擁有超過21年的學術經驗。她在被審查的期刊和會議上發表了103多篇研究論文。她組織了多個研討會、暑期實習和專家講座，並擔任IEEE期刊和會議的會議主席、會議指導委員會成員、編輯委員會成員和審稿人。她已出版了三本書，目前有多卷書籍計劃從Wiley-Scrivener出版。

Shilpa Choudhary博士是印度海得拉巴的Neil Gogte Institute of Technology的副教授，專攻計算機科學與工程。她撰寫了七本書，發表了50多篇期刊文章和會議論文，以及14項專利。她的研究興趣涵蓋了計算機視覺、機器學習、基因組學和圖像處理等多個領域。