Abstract—Importance of biometric user identification is increasing every day. One of the most promising techniques is the one based on the human iris. In this work we propose a new method for iris recognition. The proposed system first Detect the iris region using Canny algorithm operator and Hough transform. Then the system normalizes the iris region and removes any noise. The final step in our system is the feature extraction using Fourier Descriptor and Principle Component Analysis (PCA). The result experimentation was carryout out using CASIA database. The experimental results have shown that the proposed system yields attractive performances and could be used for personal identification in an efficient and effective manner.

Index Terms—Iris recognition, Fourier Descriptor, Principle Component Analysis, personal verification

1.Professor, Dean, College of Computers and informatics, Zagazig University, Egypt
2.Professor, Department of Mathematics, Faculty of Science, Menofia University, Egypt
3.lecturer, Department of Mathematics, Faculty of Science, Menofia University, Egypt
4.Ass. Lecturer, Department of Mathematics, Faculty of Science, Menofia University, Egypt.

Cite: Ismail A. Ismail, Mohammed A. Ramadan, Talaat. El danf, and Ahmed H. Samak, "An Effective Iris Recognition System Using Fourier Descriptor  and  Principle  Component  Analysis,"  International  Journal  of
Computer and Electrical Engineering vol. 1, no. 2, pp. 117-120, 2009.