DocumentCode
2095553
Title
Detection of Non-iris Region in the Iris Recognition
Author
Luo, Zhongliang ; Lin, Tusheng
Author_Institution
Sch. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China
Volume
2
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
45
Lastpage
48
Abstract
In view of iris disturbance of eyelid, eyelash and reflection spot affect the accuracy of iris recognition, a detection approach of non-iris region in the iris segment is proposed. Based on mathematical morphology knowledge, the proposed method uses the least squares combined with edge detection to determine eyelid occlusion, then, eyelash and reflection spot can be detected with threshold method. The experimental results show that this method may detect disturbance accurately and effectively, and can exclude it from the iris region, so that the effect to recognition can be suppressed in the iris segment. At the same time, it reduces the complexity of the algorithm greatly, which indicates that it is an effective and feasible method of non-iris region detection.
Keywords
biometrics (access control); edge detection; least squares approximations; mathematical morphology; edge detection; eyelid occlusion; iris disturbance; iris recognition; least squares; mathematical morphology; noniris region detection; Biometrics; Eyelashes; Eyelids; Face recognition; Fingerprint recognition; Image edge detection; Iris recognition; Least squares methods; Reflection; Stability; detection; eyelash; eyelid; iris segmentation; least squares method; threshold method;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3746-7
Type
conf
DOI
10.1109/ISCSCT.2008.332
Filename
4731568
Link To Document