Paper Info
Title
Enhancing iris recognition system performance using templates fusion
Abstract
Iris recognition has very high recognition accuracy in comparison with many other biometric features. Many algorithms have been proposed to improve the performance of iris recognition. This paper proposes an iris recognition algorithm in which a set of iris images of a given eye are fused to generate a final template using the most consistent feature data. Features consistency weight matrix is determined according the noise level presented in the considered images. Such an algorithm has the capability of reducing the amount of data storage and accelerate the matching process. Simulation studies are made to test the validity of the proposed algorithm. The results obtained ensure the superior of such algorithm over any other one.
Year
DOI
Venue
2010
10.1109/ISSPIT.2010.5711758
ISSPIT
Keywords
Field
DocType
biometric feature,iris recognition algorithm,iris recognition,consistent feature data,final template,templates fusion,iris image,iris recognition system performance,high recognition accuracy,features consistency weight matrix,data storage,proposed algorithm,image recognition,matched filters,image resolution,system performance,performance management,image fusion,image segmentation,template matching,feature data,process simulation
Template matching,Iris recognition,High-definition video,Computer vision,Image fusion,Pattern recognition,Computer science,Image segmentation,Artificial intelligence,Matched filter,Biometrics,Feature data
Conference
Citations 
PageRank 
References 
7
0.52
28
Authors
3
Name
Order
Citations
PageRank
Aly I. Desoky170.52
Hesham A. Ali29916.11
Nahla B. Abdel-Hamid390.91