Biometric Security | ScienceGate

2015 ◽

pp. 199-217

Author(s):

Muzhir Shaban Al-Ani

Keyword(s):

Biological Sciences ◽

Data Analysis ◽

Personal Identification ◽

Biometric System ◽

Mathematical Methods ◽

Security Systems ◽

Biometric Security ◽

The Future ◽

Behavioral Parameters ◽

Biometric Features

The terms biometrics and biometry have been used to refer to the field of development of statistical and mathematical methods applicable to data analysis problems in the biological sciences. Recently biometrics refers to technologies and applications applied for personal identification using physical and behavioral parameters. Biometric security systems ensuring that only the authorized persons are permitted to access a certain data, because it is difficult to copy the biometric features pattern for a specific person. Biometrics is playing an important role in applications that are centric on identification, verification and classification. This chapter focuses on biometric security in their types, specifications, technologies and algorithms. Some algorithms of biometric security are also included in this chapter. Finally latest and future aspects of biometric system and merging technologies are also mentioned, including more details of system structures and specifications and what constitution will shape biometric security of in the future.

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Biometric Approach for Confidentiality in Cloud Computing

SAMRIDDHI A Journal of Physical Sciences Engineering and Technology ◽

10.18090/samriddhi.v10i01.9 ◽

2018 ◽

Vol 10 (01) ◽

pp. 65-70

Author(s):

Pankaj Mishra ◽

Dev Ratna Singh

Keyword(s):

Private Information ◽

Data Security ◽

Personal Data ◽

Security Measures ◽

Biometric System ◽

Security Systems ◽

Biometric Security ◽

Digital Database ◽

Cyber Safety ◽

Identity Cards

Nowadays, progress in technology have made life simple by giving us higher levels of knowledge through the innovation of various devices. However, all technical invention harbours the potential of invisible threats to its users. One leading danger is theft of private information and data. As digital database get more prevailing, user’s attempt to prevent their data with extremely encrypted Identity cards and passwords. However, the abuse and theft of these security measures are on the rise. Taking benefit of security fault in Identity cards result in the cards gets duplicated and get misused. This increasing conflict of the cyber safety has lead to the start of biometric security method. Defining the main variation between the methods of biometric system used to verify user identity will focus on the benefits and limitations of personal data security systems.

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Biometrics Systems and Technologies: A survey

International Journal of Computers Communications & Control ◽

10.15837/ijccc.2016.3.2556 ◽

2016 ◽

Vol 11 (3) ◽

pp. 315 ◽

Cited By ~ 9

Author(s):

Ioan Buciu ◽

Alexandru Gacsadi

Keyword(s):

Face Recognition ◽

Human Computer Interaction ◽

Biometric System ◽

Interested Reader ◽

Biometric Security ◽

Detailed List ◽

Biometric Templates ◽

Password Based Authentication ◽

Biometric Features ◽

Biometric Based Authentication

In a nutshell, a biometric security system requires a user to provide some biometric features which are then verified against some stored biometric templates. Nowadays, the traditional password based authentication method tends to be replaced by advanced biometrics technologies. Biometric based authentication is becoming increasingly appealing and common for most of the human-computer interaction devices. To give only one recent example, Microsoft augmented its brand new Windows 10 OS version with the capability of supporting face recognition when the user login in. This chapter does not intend to cover a comprehensive and detailed list of biometric techniques. The chapter rather aims at briefly discussing biometric related items, including principles, definitions, biometric modalities and technologies along with their advantages, disadvantages or limitations, and biometric standards, targeting unfamiliar readers. It also mentions the attributes of a biometric system as well as attacks on biometrics. Important reference sources are pointed out so that the interested reader may gain deeper in-depth knowledge by consulting them.

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An Enhanced IRIS Output Technique (EIOT) for Biometric Security

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b7575.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 4788-4791

Keyword(s):

Iris Recognition ◽

Human Identification ◽

Identification System ◽

Security Systems ◽

Security Applications ◽

Biometric Security ◽

Reliable Systems ◽

Human Eyes ◽

Biometric Features

Human biometric features form the base for many security applications which identify humans uniquely. Human eyes and specifically the Iris based identifications are regarded as highly reliable systems. Iris based systems when combined with cryptography have been able to present higher biometric based security systems. This paper presents an Iris based human identification system called EIOT which can enhance biometric security. It is a set of unique sequential steps followed in Iris recognition and can be implemented in human authentications and identifications.

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Biometric Approach for Confidentiality in Cloud Computing

SAMRIDDHI A Journal of Physical Sciences Engineering and Technology ◽

10.18090/samriddhi.v9i02.9 ◽

2018 ◽

Vol 10 (1) ◽

Author(s):

Pankaj Mishra ◽

Dev Ratna Singh

Keyword(s):

Private Information ◽

Data Security ◽

Personal Data ◽

Security Measures ◽

Biometric System ◽

Security Systems ◽

Biometric Security ◽

Digital Database ◽

Cyber Safety ◽

Identity Cards

Nowadays, progress in technology have made life simple by giving us higher levels of knowledge through the innovation of various devices. However, all technical invention harbours the potential of invisible threats to its users. One leading danger is theft of private information and data. As digital database get more prevailing, user’s attempt to prevent their data with extremely encrypted Identity cards and passwords. However, the abuse and theft of these security measures are on the rise. Taking benefit of security fault in Identity cards result in the cards gets duplicated and get misused. This increasing conflict of the cyber safety has lead to the start of biometric security method. Defining the main variation between the methods of biometric system used to verify user identity will focus on the benefits and limitations of personal data security systems.

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On the Future of Social Security Systems

SSRN Electronic Journal ◽

10.2139/ssrn.3093177 ◽

2015 ◽

Author(s):

Christian Aspalter

Keyword(s):

Social Security ◽

Social Security Systems ◽

Security Systems ◽

The Future

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Evaluation of the effectiveness of different image skeletonization methods in biometric security systems

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327910666201210151809 ◽

2020 ◽

Vol 10 ◽

Author(s):

Mariya Nazarkevych ◽

Serhii Dmytruk ◽

Volodymyr Hrytsyk ◽

Olha Vozna ◽

Anzhela Kuza ◽

...

Keyword(s):

Experimental Studies ◽

Fingerprint Recognition ◽

Good Time ◽

Gabor Filtering ◽

Security Systems ◽

Thinning Algorithm ◽

Biometric Security ◽

Recognition Quality ◽

Control And Management ◽

The Internet Of Things

Background: Systems of the Internet of Things are actively implementing biometric systems. For fast and high-quality recognition in sensory biometric control and management systems, skeletonization methods are used at the stage of fingerprint recognition. The analysis of the known skeletonization methods of Zhang-Suen, Hilditch, Ateb-Gabor with the wave skeletonization method has been carried out and it shows a good time and qualitative recognition results. Methods: The methods of Zhang-Suen, Hildich and thinning algorithm based on Ateb-Gabor filtration, which form the skeletons of biometric fingerprint images, are considered. The proposed thinning algorithm based on Ateb-Gabor filtration showed better efficiency because it is based on the best type of filtering, which is both a combination of the classic Gabor function and the harmonic Ateb function. The combination of this type of filtration makes it possible to more accurately form the surroundings where the skeleton is formed. Results: Along with the known ones, a new Ateb-Gabor filtering algorithm with the wave skeletonization method has been developed, the recognition results of which have better quality, which allows to increase the recognition quality from 3 to 10%. Conclusion: The Zhang-Suen algorithm is a 2-way algorithm, so for each iteration, it performs two sets of checks during which pixels are removed from the image. Zhang-Suen's algorithm works on a plot of black pixels with eight neighbors. This means that the pixels found along the edges of the image are not analyzed. Hilditch thinning algorithm occurs in several passages, where the algorithm checks all pixels and decides whether to replace a pixel from black to white if certain conditions are satisfied. This Ateb-Gabor filtering will provide better performance, as it allows to obtain more hollow shapes, organize a larger range of curves. Numerous experimental studies confirm the effectiveness of the proposed method.

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