Springer Biometric Identification Technologies Based on Modern Data Mining Methods

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. From the Back Cover 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. Presents recent advances in the creation of biometric identification systems for various applications; Classifies biometrics into two groups - static and dynamic - and discusses developing for each; Relevant for students, researchers, and professionals in intelligent information processing, security, and robotics. About the Author Dr. Stepan Bilan received PhD in 1990 in the field of computer systems and components from Vinnitsa Polytechnic Institute, Faculty of Automatization and Computer science. He has been working in the Vinnytsia State Technical University (now the Vinnytsia National Technical University) since 1990. In 1998 he was awarded the academic title of an assistant professor of Computer Science. From 2003 to 2017, he worked in State Economy and Technology University of Transport (Kiev, Ukraine) as Professor at the Department of Telecommunication technologies and automatics. He supervised many masters and PhD students in Computer Sciences. His research interests include Artificial intelligence, image processing, and recognition, information security, cellular automata, biometric identification, pseudorandom sequence generation devices. In these research points, he has more than 50 international publications. Currently, he is working as Associate Professor at the State University of Infrastructure and Technology, Ukraine.  Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Informa