TY - GEN
T1 - A new approach for pupil detection in iris recognition system
AU - Gomai, A.
AU - El-Zaart, A.
AU - Mathkour, H.
PY - 2010
Y1 - 2010
N2 - Recently, Personal Identification System becomes a key factor for safety and secures environments. Iris segmentation step is one of the most important steps that plays a vital role in the accuracy and efficiency of Personal Identification System. Pupil detection and isolation is the foremost task in this step. Many researches had proposed several methods to detect the pupil boundary. Some of those methods detect the pupil by an estimated threshold or by search for the value of the first dark region, and consider it as an estimated threshold. But, the dark intensities of pupil are not fixed due to the coming lighting. Other iris segmentation methods which are used for iris recognition technology consider the boundary of pupil is a circle. But, the boundary of pupil is not quite circle and a small error in detecting this boundary will lead to lose some information surrounding the pupil. Another problem that makes most of the iris segmentation method fail to detect the pupil boundary is the head rotation or the eye rotation. As a result of these problems, the iris recognition system will be inefficient and inaccurate. In this paper a new method has developed to detect the boundary of pupil based on minimum and mean intensity of pupil. This method is able to detect and isolate pupil with high accuracy results approximately 100% and reduce time consuming
AB - Recently, Personal Identification System becomes a key factor for safety and secures environments. Iris segmentation step is one of the most important steps that plays a vital role in the accuracy and efficiency of Personal Identification System. Pupil detection and isolation is the foremost task in this step. Many researches had proposed several methods to detect the pupil boundary. Some of those methods detect the pupil by an estimated threshold or by search for the value of the first dark region, and consider it as an estimated threshold. But, the dark intensities of pupil are not fixed due to the coming lighting. Other iris segmentation methods which are used for iris recognition technology consider the boundary of pupil is a circle. But, the boundary of pupil is not quite circle and a small error in detecting this boundary will lead to lose some information surrounding the pupil. Another problem that makes most of the iris segmentation method fail to detect the pupil boundary is the head rotation or the eye rotation. As a result of these problems, the iris recognition system will be inefficient and inaccurate. In this paper a new method has developed to detect the boundary of pupil based on minimum and mean intensity of pupil. This method is able to detect and isolate pupil with high accuracy results approximately 100% and reduce time consuming
KW - Image processing tools
KW - Iris segmentation
KW - Minimum and mean intensity of pupil
KW - Personal identification system
KW - Pupil detection
UR - http://www.scopus.com/inward/record.url?scp=77958024358&partnerID=8YFLogxK
U2 - 10.1109/ICCET.2010.5485497
DO - 10.1109/ICCET.2010.5485497
M3 - Conference contribution
AN - SCOPUS:77958024358
SN - 9781424463503
T3 - ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
SP - V4415-V4419
BT - ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings
T2 - 2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010
Y2 - 16 April 2010 through 18 April 2010
ER -