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

Article ID

8150U

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

Dr. Piyush Tripathi
Dr. Piyush Tripathi Amity School of Engineering and Technology
Aparna Shukla
Aparna Shukla
DOI

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.

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

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.

Dr. Piyush Tripathi
Dr. Piyush Tripathi Amity School of Engineering and Technology
Aparna Shukla
Aparna Shukla

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Dr. Piyush Tripathi. 1970. “. Unknown Journal GJCST Volume 10 (GJCST Volume 10 Issue 12): .

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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 School of Engineering and Technology
Aparna Shukla
Aparna Shukla

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