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An Iris Detection Method Based on Structure Information.

Authors :
Li, Stan Z.
Sun, Zhenan
Pankanti, Sharath
Chollet, Gérard
Zhang, David
Cui, Jiali
Tan, Tieniu
Hou, Xinwen
Wang, Yunhong
Wei, Zhuoshi
Source :
Advances in Biometric Person Authentication; 2005, p157-164, 8p
Publication Year :
2005

Abstract

In this paper, we propose an iris detection method to determine iris existence. The method extracts 4 types of features, i.e., contrast feature, symmetric feature, isotropy feature and disconnectedness feature. Adaboost is adopted to combine these features to build a strong cascaded classifier. Experiments show that the performance of the method is promising in terms of high speed, accuracy and device independence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540294313
Database :
Supplemental Index
Journal :
Advances in Biometric Person Authentication
Publication Type :
Book
Accession number :
32882472
Full Text :
https://doi.org/10.1007/11569947_20