An Efficient Technique for Iris Data Compression a An Algorithm by Bezier Curve Approach

Dr. Piyush Tripathi; Aparna Shukla

An Efficient Technique for Iris Data Compression a An Algorithm by Bezier Curve Approach

Dr. Piyush Tripathi * §

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Aparna Shukla §

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§ Amity School of Engineering and Technology

An Efficient Technique for Iris Data Compression a An Algorithm by Bezier Curve Approach

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Abstract

Iris is a strong biometric tool used for human authentication. In this methodology, the patterns in the iris such as rings, furrows and freckles can be envisaged a set of Bezier curves and hence represented by the corresponding Bezier points, resulting in considerable reduction in the file size. After the iris is captured using scanner, the patterns are extracted from the scanned image. Then they are treated as a Bezier curve and the coordinated of the characteristics four control points are determined. These set of coordinates of the control points are stored as a data file representing the iris, resulting in a considerable memory saving. Whenever the iris, is needed for recognition the retinal blood vessels can be regenerated by drawing the corresponding Bezier curves using the control points. Truthfulness of this regenerated iris is ascertained mathematically.

References

16 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

Dr. Piyush Tripathi, Aparna Shukla. . "An Efficient Technique for Iris Data Compression a An Algorithm by Bezier Curve Approach". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 12).

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GJCST Volume 10 Issue 12

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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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Submission ReceivedFebruary 5, 2010
Peer Review Double Blind
Handling Editor
Accepted February 28, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

October 11, 2010

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Piyush Tripathi , Aparna Shukla (PhD/Dr. count: 1)

View Count (all-time): 262

Total Views (Real + Logic): 7283

Total Downloads (simulated): 587

Publish Date: 2010 03, Mon

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Total Views: 7.3K

Total Downloads: 587

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