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

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Dr. Piyush Tripathi
Dr. Piyush Tripathi
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Aparna Shukla
Aparna Shukla
α Amity University

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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. 1970. \u201cAn Efficient Technique for Iris Data Compression a An Algorithm by Bezier Curve Approach\u201d. Unknown Journal GJCST Volume 10 (GJCST Volume 10 Issue 12): .

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v1.2

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October 11, 2010

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en
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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.

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

Dr. Piyush Tripathi
Dr. Piyush Tripathi Amity University
Aparna Shukla
Aparna Shukla

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