|
Iris segmentation using an edge detector based on fuzzy sets theory and cellular learning automata |
Applied Optics, Vol. 50, Issue 19, pp. 3191-3200 (2011)
http://dx.doi.org/10.1364/AO.50.003191
Enhanced HTML 
Acrobat PDF (1616 KB)
Abstract
Iris-based biometric systems identify individuals based on the characteristics of their iris, since they are proven to remain unique for a long time. An iris recognition system includes four phases, the most important of which is preprocessing in which the iris segmentation is performed. The accuracy of an iris biometric system critically depends on the segmentation system. In this paper, an iris segmentation system using edge detection techniques and Hough transforms is presented. The newly proposed edge detection system enhances the performance of the segmentation in a way that it performs much more efficiently than the other conventional iris segmentation methods.
© 2011 Optical Society of America
OCIS Codes
(100.5010) Image processing : Pattern recognition
(100.4995) Image processing : Pattern recognition, metrics
ToC Category:
Image Processing
History
Original Manuscript: July 26, 2010
Revised Manuscript: December 1, 2010
Manuscript Accepted: January 12, 2011
Published: June 23, 2011
Citation
Afshin Ghanizadeh, Amir Atapour Abarghouei, Saman Sinaie, Puteh Saad, and Siti Mariyam Shamsuddin, "Iris segmentation using an edge detector based on fuzzy sets theory and cellular learning automata," Appl. Opt. 50, 3191-3200 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-19-3191
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Texture classification based on comparison of second-order statistics. I. Two-point probability density function estimation and distance measure (JOSAA)
- lp-norm optimum filters for image recognition. Part I. Algorithms (JOSAA)
- lp-norm optimum filters for image recognition. Part II: performance evaluation (JOSAA)
- Generalized Rayleigh quotient approach to filter optimization (JOSAA)
- Image matching with higher-order geometric features (JOSAA)
« Previous Article | Next Article »
OSA is a member of 