Table Of ContentStepan Bilan
Mohamed Elhoseny
D. Jude Hemanth Editors
Biometric
Identification
Technologies Based
on Modern Data
Mining Methods
Biometric Identification Technologies
Based on Modern Data Mining Methods
Stepan Bilan • Mohamed Elhoseny
D. Jude Hemanth
Editors
Biometric Identification
Technologies Based
on Modern Data Mining
Methods
Editors
Stepan Bilan Mohamed Elhoseny
State University of Infrastructure College of Computer Information Technology
and Technology American University in the Emirates
Kyiv, Ukraine Emirates, UAE
D. Jude Hemanth
Karunya University
Karunya Nagar, India
ISBN 978-3-030-48377-7 ISBN 978-3-030-48378-4 (eBook)
https://doi.org/10.1007/978-3-030-48378-4
© Springer Nature Switzerland AG 2021
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Preface
In today’s world, the population is constantly increasing. Along with population
growth, the number of computing and computer-related tools accompanying people
is also increasing. Modern society is characterized by wide automation of various
spheres of human activity, and in these processes, a special place is occupied by
biometric identification of a person. Biometric identification technologies are every-
where. For example, modern smartphones contain the option of user access through
fingerprints, as well as other human biometric parameters. They are also used in the
transport sector, automated computer systems, various access systems, forensic sci-
ence, and other spheres of human life.
As requests for the use of biometric identification tools increase, the number of
financial investments in developing new methods and tools with increased reliabil-
ity of identification and authentication is also increasing. In addition, much atten-
tion of specialists is paid to the search for new, previously unknown biometric
characteristics, such as accuracy, speed, and ease of implementation. At the same
time, the bulk of the methods and means of biometric identification are device-
dependent. They require a special interaction of the person’s location in relation to
scanning and reading devices of a special design. In this regard, researchers’ efforts
are spent on the creation and development of methods and tools that do not require
distraction of a person from his main activity at the time of identification.
This book is very relevant and aims to highlight new modern research in the field
of biometric identification. The book will help specialists gain new knowledge and
determine the future direction of scientific research.
The book consists of 12 chapters.
The first chapter describes the application of the triangulation method in the
process of biometric identification by an image of a person’s face. In the second
chapter, based on the existing methods, a method for correctly describing a person’s
gait is presented, and its effectiveness is evaluated on three data sets. The third chap-
ter describes the system of biometric identification by keyboard dynamics.
Algorithms for the formation of characteristic features and user identification are
considered. The fourth chapter focuses on the description of biometric identification
methods by the dynamics of handwritten handwriting. Two approaches to
v
vi Preface
identification are considered. The fifth chapter discusses the method of biometric
identification of a person’s gait based on parallel shift technology. The sixth chapter
describes the use of the Radon transform for biometric identification of a person
from handwritten images. The seventh chapter presents a comparison between dif-
ferent detectors (Harris, FAST, SIFT, and SURF) for biometric identification using
facial images. The eight chapter discusses the existing problems of face recognition
in three-dimensional images. A biometric identification method based on scalar per-
turbation functions and a set- theoretic subtraction operation is proposed. The ninth
chapter describes a new method for analyzing the shape of the palm’s inner side.
The tenth chapter describes a method for biometric identification of a person by the
palm’s geometric shape based on parallel shift technology. The eleventh chapter
provides an unlimited multimodal biometric system for smartphones, which uses a
multiuser selfie and behavioral biometrics. The twelfth chapter describes research in
the field of biometric identification based on image analysis of the auricle.
Kyiv, Ukraine Stepan Bilan
Emirates, UAE Mohamed Elhoseny
Karunya Nagar, India D. Jude Hemanth
Introduction
This book is a research book that can be read by students, analysts, scientists, and
developers in the field of data mining and biometric identification and authentica-
tion. The book acquaints students and novice practitioners with the basics of bio-
metric personality identification using static and dynamic biometric characteristics,
and to highly qualified specialists and researchers in this field the book helps in
modern research and new methods. The book is also useful for organizations
involved in developing modern devices designed for biometric identification of
people in various access systems and other public places. The book is written in a
simple and understandable language, describing modern research and new
approaches to biometric identification of a person. Based on the modern develop-
ment of biometric technologies, each library and organization involved in the devel-
opment of new and reliable biometric identification systems will be interested in
acquiring this book.
vii
Contents
Possibilities of Applying the Triangulation Method in the Biometric
Identification Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Muzafer Saračevič, Mohamed Elhoseny, Aybeyan Selimi, and Zoran
Lončeravič
Biometric Gait Identification Systems: From Spatio-Temporal Filtering
to Local Patch-Based Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Mohammad H. Ghaeminia, Shahriar B. Shokouhi,
and Abdollah Amirkhani
Interactive Biometric Identification System Based on the Keystroke
Dynamic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Stepan Bilan, Mykola Bilan, and Andrii Bilan
Analysis of the Dynamics of Handwriting for Biometric Personality
Identification Based on Cellular Automata . . . . . . . . . . . . . . . . . . . . . . . . . 59
Stepan Bilan, Mykola Bilan, Andrii Bilan, and Sergii Bilan
Gait Identification Based on Parallel Shift Technology . . . . . . . . . . . . . . . . 75
Stepan Bilan, Ruslan Motornyuk, Sergey Yuzhakov, and Mariia Halushko
User Identification Using Images of the Handwritten Characters Based
on Cellular Automata and Radon Transform . . . . . . . . . . . . . . . . . . . . . . . . 91
Stepan Bilan, Ruslan Motornyuk, Sergii Bilan, and Olga Galan
Automated Calculation of Fundamental Matrix from Stereo
Images from a Different Point of View . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
Ahmed Chater and Abdelali Lasfar
Identification of Persons Using Stereo Image Pairs and Perturbation
Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
Sergey Vyatkin, Alexander Romanyuk, Sergey Pavlov,
and Oksana Romanyuk
ix
x Contents
Identification of a Person by Palm Based on an Analysis of the Areas
of the Inner Surface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135
Mykola Bilan, Andrii Bilan, and Stepan Bilan
Search of Informative Biometric Characteristic Features
of the Palm Based on Parallel Shift Technology . . . . . . . . . . . . . . . . . . . . . . 147
Sergey Yuzhakov, Sergii Bilan, Stepan Bilan, and Mykola Bilan
Multitrait Selfie: Low-Cost Multimodal Smartphone
User Authentication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159
Zahid Akhtar and Attaullah Buriro
Research of Biometric Characteristics of the Shape of the Ears Based
on Multi-C oordinate Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177
Ruslan Motornyuk, Andrii Bilan, and Stepan Bilan
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195
Possibilities of Applying the Triangulation
Method in the Biometric Identification
Process
Muzafer Saračevič, Mohamed Elhoseny, Aybeyan Selimi,
and Zoran Lončeravič
1 Introduction
Biometrics is an integral part of every individual. It refers to metrics related to body
measurements and calculations which have unique characteristics and differs from
each other. It is known that there are no two people whose biometric data could
coincide. By applying biometrics, you do not need to remember passwords, PIN
codes, etc. Some of the essential and significant characteristics of biometrics are a
high level of data security, faster data access, reduction of administrative costs,
more efficient keys and confidential data distribution, etc.
The goal of multi-factor authentication is to form a layered defense that relies on
two or more different ways of determining the authenticity of the user when logging
onto a system (authentication) and giving access privileges (authorization). These
techniques combine what the user knows, what the user owns, and what physically
identifies the user (biometric verification). The recognition process is based on the
authenticity of specific biometric characteristics, whether physical or behavioral
characteristics, with those biometric data that are in the database. The most important
thing in building a biometric system is the way in which recognition will be based.
M. Saračević (*)
Department of Computer Sciences, University of Novi Pazar, Novi Pazar, Serbia
e-mail: [email protected]
M. Elhoseny
College of Computer Information Technology, American University in the Emirates,
Emirates, UAE
e-mail: [email protected]
A. Selimi
International Vision University, Gostivar, North Macedonia
e-mail: [email protected]
Z. Lončeravić
ITS - Information Technologies School, Belgrade, Serbia
© Springer Nature Switzerland AG 2021 1
S. Bilan et al. (eds.), Biometric Identification Technologies Based on Modern
Data Mining Methods, https://doi.org/10.1007/978-3-030-48378-4_1
