Biometric Identification Technologies Based on Modern Data Mining Methods
Book information
Description
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.
Similar books
Biometric-Based Physical and Cybersecurity Systems
2019 · PDF
Functional Processing of Delta-Sigma Bit-Stream
2020 · PDF
Signals in the Soil: Developments in Internet of Underground Things
2020 · PDF
Brain–Computer Interface Research: A State-of-the-Art Summary 8
2020 · PDF
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint
2020 · PDF
Filter Banks and Audio Coding: Compressing Audio Signals Using Python
2020 · PDF
Robust and Secured Digital Audio Watermarking: Using a DWT-SVD-DSSS Hybrid Approach
2021 · PDF
Dimension-Based Quality Analysis and Prediction for Videotelephony
2021 · PDF