A Novel Iris Recognition System Based on Active Contour

Publish Year: 1389
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ICBME17_072

تاریخ نمایه سازی: 9 تیر 1392

Abstract:

Image segmentation is a method which is widely used in image processing application, and it is one of the most difficult steps of the process. This matter becomes more significant when we try to use the algorithms presented in complicated systems, such as the biometric systems. Different methods of iris segmentation have been presented so far. In this article, a new algorithm has been proposed for iris segmentation. We tried to use the greedy snake algorithm for the iris segmentation process. The proposed algorithm was tested on the CASIA Iris Image Database 1.0 and the obtained results showed that the proposed method has an acceptable accuracy.

Authors

Seyyed Mohammad Sadegh Moosavi

Department of Electrical Engineering Iran University of Science & Technology Tehran, Iran

Seyed Mohammad Seyedzade

Department of Electrical Engineering Iran University of Science & Technology Tehran, Iran

Ahmad Ayatollahi

Department of Electrical Engineering Iran University of Science & Technology Tehran, Iran