Future Biometric Passports and Neural Networks

Omar Al Zoubi; Dr. Kheder Durah; Bilal Alzoubi

Future Biometric Passports and Neural Networks

Omar Al Zoubi * §

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Dr. Kheder Durah

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Bilal Alzoubi

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Taibah University

Future Biometric Passports and Neural Networks

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Abstract

Due to the increase in the number of crimes and different ways they are perpetrated, demand has increased on the means that increase the level of security accuracy in the places that need special kind of protection, and places that require verifying the identity of those who demand access, such as computer networks, banks and home land security departments. There are many ways to identify people and grant them the required access; these methods include: What people have? (like an access card or key) and What people know? (like password); Moreover, there are physical biometric features such as (figure prints, retina, iris, DNA,etc) and behavioral biometric features such as (signature, voice, walking, etc). Recently, experience proved that using the iris is the best and more accurate than any other way and it will be the target of our research. There are several ways to increase the level of security that have been innovated, most important of which was using the biometrics. The most accurate biometric feature is the human eye iris, due to the characteristics it enjoys, and which make it possible to be used to identify people. The eye iris texture differs from one person to another; it even differs between identical twins, and the right and left eyes of the same person too. The aim of this research is to design an algorithm to recognize the iris for using it to identify people and create an international biometric passport for that person.

References

34 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Omar Zoubi, Dr. Durah, Bilal Alzoubi. 1970. "Future Biometric Passports and Neural Networks". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 7).

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GJCST Volume 11 Issue 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST Classification I.2.6

Submission ReceivedFebruary 14, 2011
Peer Review Double Blind
Handling Editor
Accepted March 7, 2011
Published March 18, 2011

Version of record

v1.2

Issue date

May 6, 2011

Language

English

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Article Matrices

Total Score: 169

Country: Saudi Arabia

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Kheder Durah, Omar Al Zoubi, Bilal Alzoubi, Emad Mohammed (PhD/Dr. count: 1)

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Publish Date: 2011 03, Fri

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