| Paper Details: | Downloads: 399 |
| Serial Number: | P1150535157
|
| Title: | Rejection Analysis of an Iris Recognition System
|
| Authors: | Ezzeldine Moukhtar and Mostafa El-Kadi and Mostafa Hazem and Mina Bakhoum and Ramy Bahgat and Ramy Mossaad and Salma Abdalla and Shaimaa El-Shiekh and Sherif Nour ElDin and Waleed Fakhr
|
| Abstract: | In this paper, efficient Biometric security technique for
iris recognition system with high performance and
acceptance/rejection capabilities is described. The
system is composed of many steps. Namely, capturing
the iris patterns; determining the location of the iris
boundaries; converting the iris boundary to the
stretched polar coordinate system; extracting the iris
code based on texture analysis using wavelet
transforms; and classification of the iris code. The
proposed system uses the wavelet transforms for texture
analysis, and it depends heavily on knowledge of the
general structure of a human iris. A rejection
mechanism based on the statistics of the correct versus
imposter matching scores is also proposed with
excellent results.
The system was implemented and tested using a dataset
of 100 users each has 7 samples of iris data with
different contrast quality. The classification rate
compared with the well known methods is discussed, as
well as the correct acceptance versus false acceptance
and false rejection performances.
|
| Keywords: | Iris recognition, Wavelets, Gabor filter,
Hamming distance, Rejection
|
| Journal/Conference: | ICGST Conference on Graphics, Vision and Image Processing, GVIP-05
|
| Volume: |
|
| Issue: |
|
| Submission Date: | 8/1/2005 12:00:00 AM
|
| Review Date: | 10/1/2005 12:00:00 AM
|
| Publishing Date: | 12/19/2005 12:00:00 AM
|
| Article Downloads: | 399
|
| Download: |
|