Shulph Ink
Biometric Identification Technologies Based on Modern Data Mining Methods
Biometric Identification Technologies Based on Modern Data Mining Methods
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This book highlights recent advancements in biometric identification systems for various applications, covering static and dynamic parameters, and discussing information systems for automatic personality identification. It is intended for professionals in intelligent information processing, information security, and robotics.
Format: Hardback
Length: 200 pages
Publication date: 04 December 2020
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into the latest advancements in the development of biometric identification systems for a wide range of applications in the domain of human activity. It provides a comprehensive overview of the challenges and prospects associated with modern biometric identification systems. The authors categorize biometric technologies into two main groups based on the type of biometric characteristics employed. The first group includes static biometric parameters such as fingerprints, hand geometry, retina patterns, and vein patterns on fingers, among others. The second group encompasses dynamic parameters for identification, including the dynamics of signature reproduction, voice, gait, and keyboard work, among others.
The book discusses the directions for building information systems that utilize automatic personality identification based on the analysis of unique biometric characteristics of individuals. It is designed for professionals engaged in research and work in the fields of intelligent information processing, information security, robotics, and real-time identification systems. Throughout the book, examples and problems/solutions are provided to enhance the understanding of the topics covered.
This book is a valuable resource for researchers, practitioners, and students interested in the latest developments in biometric identification systems and their applications in various domains. It offers a comprehensive and up-to-date perspective on the field, providing insights into the challenges, opportunities, and future directions of biometric technology.
Weight: 466g
Dimension: 160 x 241 x 22 (mm)
ISBN-13: 9783030483777
Edition number: 1st ed. 2021
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