Multimodal Biometric and Machine Learning Technologies: Applications for Computer Vision
Kumar, Sandeep, Raja, Rohit, Prasad, K. M. V. V.
- 出版商: Wiley-Scrivener
- 出版日期: 2023-11-15
- 售價: $6,560
- 貴賓價: 9.5 折 $6,232
- 語言: 英文
- 頁數: 336
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119785405
- ISBN-13: 9781119785408
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相關分類:
Machine Learning、Computer Vision
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相關主題
商品描述
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.
作者簡介
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.
