Biometric Identification Technologies Based on Modern Data Mining Methods is popular PDF and ePub book, written by Stepan Bilan in 2020-12-03, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Biometric Identification Technologies Based on Modern Data Mining Methods can be Read Online from any device for your convenience.
Biometric Identification Technologies Based on Modern Data Mining Methods Book PDF Summary
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.
Detail Book of Biometric Identification Technologies Based on Modern Data Mining Methods PDF
- Author : Stepan Bilan
- Release : 03 December 2020
- Publisher : Springer Nature
- ISBN : 9783030483784
- Genre : Technology & Engineering
- Total Page : 203 pages
- Language : English
- PDF File Size : 7,7 Mb
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