Title :
A novel iris recognition system based on active contour
Author :
Moosavi, Seyyed Mohammad Sadegh ; Seyedzade, Seyed Mohammad ; Ayatollahi, Ahmad
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
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.
Keywords :
biomedical engineering; eye; feature extraction; greedy algorithms; image segmentation; iris recognition; medical image processing; CASIA Iris Image Database 1.0; active contour; biometric system; greedy snake algorithm; image segmentation; iris recognition system; iris segmentation; medical image processing; Accuracy; Active contours; Feature extraction; Image edge detection; Image segmentation; Iris recognition; Pixel; active contour; biometric; iris recognition; segmentation; snake;
Conference_Titel :
Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
Conference_Location :
Isfahan
Print_ISBN :
978-1-4244-7483-7
DOI :
10.1109/ICBME.2010.5704946
