Paper Info
Title
Optimizing 2D Gabor Filters for Iris Recognition
Abstract
The randomness and richness present in the iris texture make the 2D Gabor filter bank analysis a suitable technique to be used for iris recognition systems. To accurately characterize complex texture structures using 2D Gabor filters it is necessary to use multiple sets of parameters of this type of filters. This paper proposes a technique of optimizing multiple sets of 2D Gabor filter parameters to gradually enhance the accuracy of an iris recognition system. The proposed methodology is suitable to be applied on both near infrared and visible spectrum iris images. To illustrate the efficiency of the filter bank design technique, UBIRISv1 database was used for benchmarking.
Year
DOI
Venue
2013
10.1109/EST.2013.15
Emerging Security Technologies
Keywords
Field
DocType
filter bank design technique,gabor filter bank analysis,multiple set,visible spectrum iris image,suitable technique,gabor filters,ubirisv1 database,iris recognition,complex texture structure,iris recognition system,gabor filter parameter,iris texture,image texture
High-definition video,Iris recognition,Computer vision,Pattern recognition,Computer science,Image texture,Gabor wavelet,Filter bank,Feature extraction,Gabor filter,Artificial intelligence,Randomness
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
5
Name
Order
Citations
PageRank
petru radu1323.25
K. Sirlantzis2363.39
W. G. J. Howells3777.00
Sanaul Hoque49313.16
F. Deravi521822.48