Biometric Identification Technologies Based on Modern Data Mining Methods (Hardcover, 1st ed. 2021)

This book emphasizes recent advances in the creation of biometric identification systems for various applications in the field of human activity. The book displays the problems that arise in modern systems of biometric identification, as well as the level of development and prospects for the introduction of biometric technologies. The authors classify biometric technologies into two groups, distinguished according to the type of biometric characteristics used. The first group uses static biometric parameters: fingerprints, hand geometry, retina pattern, vein pattern on the finger, etc. The second group uses dynamic parameters for identification: the dynamics of the reproduction of a signature or a handwritten keyword, voice, gait, dynamics of work on the keyboard, etc. The directions of building information systems that use automatic personality identification based on the analysis of unique biometric characteristics of a person are discussed. The book is intended for professionals working and conducting research in the field of intelligent information processing, information security, and robotics and in the field of real-time identification systems. The book contains examples and problems/solutions throughout.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	December 2020
First published:	2021
Editors:	Stepan Bilan • Mohamed Elhoseny • D. Jude Hemanth
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	200
Edition:	1st ed. 2021
ISBN-13:	978-3-03-048377-7
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Security & fire alarm systems Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-03-048377-0
Barcode:	9783030483777

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