Multimodal Biometric and Machine Learning Technologies, 9781119785408
Hardcover
Secure identity: Combining biometrics and machine learning for robust authentication.

Multimodal Biometric and Machine Learning Technologies

Applications for Computer Vision

  • Hardcover

    336 pages

  • Release Date

    23 October 2023

Summary

MULTIMODAL BIOMETRIC AND MACHINE LEARNING TECHNOLOGIES

With an increasing demand for biometric systems in various industries, this book on multimodal biometric systems, answers the call for increased resources to help researchers, developers, and practitioners.

Multimodal biometric and machine learning technologies have revolutionized the field of security and authentication. These technologies utilize multiple sources of information, such as facial recognition, voice recogn…

Book Details

ISBN-13:9781119785408
ISBN-10:1119785405
Author:Sandeep Kumar, Deepika Ghai, Arpit Jain, Suman Lata Tripathi, Shilpa Rani
Publisher:John Wiley & Sons Inc
Imprint:Wiley-Scrivener
Format:Hardcover
Number of Pages:336
Release Date:23 October 2023
Weight:40g
About The Author

Sandeep Kumar

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 authored 13 books.

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. 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.

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 105 research papers in refereed journals and conferences. She has published three books and currently has multiple volumes scheduled for publication from Wiley-Scrivener.

Shilpa Rani, PhD, is an associate professor at the Neil Gogte Institute of Technology, Hyderabad, India, and specializes in computer science & engineering. She has authored seven books, more than 50 journal articles conference papers, as well as 14 patents.

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