Feature Selection Method for Iris Recognition Authentication System

Feature Selection Method for Iris Recognition Authentication System

Dr. Pooja garg

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Anshu Parashar

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α Kurukshetra University

Feature Selection Method for Iris Recognition Authentication System

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Abstract

Iris-based biometric authentication is gaining importance in recent times. Iris biometric processing however, is a complex process and computationally very expensive. In the overall processing of iris biometric in an iris-based biometric authentication system, feature selection is an important task. In feature selection, we ex-tract iris features, which are ultimately used in matching. Since there is a large number of iris features and computational time increases as the number of features increases, it is therefore a challenge to develop an iris processing system with as few as possible number of features and at the same time without compromising the correctness. In this paper, we address this issue and present an approach to feature Selection Method.

References

13 Cites in Article

Reference Format

George Matsopoulos,Nicolaos Mouravliansky,Konstantinos Delibasis,Konstantina Nikita (1999). Automatic retinal image registration scheme using global optimization techniques.
Li Huiqi,O Chutatape (2004). Automated feature extraction in color retinal images by a model based approach.
Mario Munich,Pietro Perona (2003). Visual identification by signature tracking.
Judith Markowitz (2000). Voice biometrics.
Vaclav Matyas,Jr,Zdenek Riha (2003). Toward reliable user authentication through biometrics.
John Daugman (1998). Phenotypic versus genotypic approaches to face recognition.
K Anil,R Jain,S Bolle,Pankanti (1999). Personal Identification in networked society.
K Anil,A Jain,S Ross,Prabhakar (2004). An introduction to biometric recognition.
Yau Wei,Yun (2002). The"123" of biometric technology.
Simon Liu,Mark Silverman (2001). A practical guide to biometric security technology.
(2001). CBEFF common exchange biometric file format.
John Woodward,Katharine Webb,Elaine Newton,Melissa Bradley,David Rubenson,Kristina Larson,Jacob Lilly,Katie Smythe,Brian Richard,P Wildes (1997). Iris recognition: an emerging biometric technology.
Li Ma,Tieniu Tan,Yunhong Wang,Dexin Zhang (2006). Local intensity variation analysis for iris recognition.

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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

Dr. Pooja garg. 2012. \u201cFeature Selection Method for Iris Recognition Authentication System\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F10): .

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GJCST Volume 12 Issue F10
Pg. 29- 32

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Biometric feature extraction feature Selection method Iris Recognition

Submission ReceivedFebruary 5, 2012
Peer Review Double Blind
Handling Editor
Accepted March 3, 2012
Published March 15, 2012

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v1.2

Issue date

June 20, 2012

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. Pooja garg, Anshu Parashar (PhD/Dr. count: 1)

View Count (all-time): 220

Total Views (Real + Logic): 10392

Total Downloads (simulated): 2570

Publish Date: 2012 06, Wed

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Total Views: 10392

Total Downloads: 2570

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