Biometric Identification Technologies Based on Modern Data Mining Methods

Download or Read eBook Biometric Identification Technologies Based on Modern Data Mining Methods PDF written by Stepan Bilan and published by Springer Nature. This book was released on 2020-12-03 with total page 203 pages. Available in PDF, EPUB and Kindle.
Biometric Identification Technologies Based on Modern Data Mining Methods
Author :
Publisher : Springer Nature
Total Pages : 203
Release :
ISBN-10 : 9783030483784
ISBN-13 : 3030483789
Rating : 4/5 (84 Downloads)

Book Synopsis Biometric Identification Technologies Based on Modern Data Mining Methods by : Stepan Bilan

Book excerpt: 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.


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