DocumentCode
3295264
Title
Fractal encoding of low resolution iris imagery for improved matching
Author
Trebaol, Theodore ; Savvides, Professor Marios
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA
fYear
2008
fDate
15-17 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
This paper investigates the differences between fractal encoding and other existing image enhancement techniques, such as bicubic interpolation, for iris image enhancement and their performance benefits when matching iris images from the ICE database. The algorithm used for iris recognition is the freely available Libor Masek Matlab code. Commercially available software was used for fractal encoding.
Keywords
fractals; image coding; image enhancement; image matching; image resolution; interpolation; ICE database; bicubic interpolation; fractal encoding; image matching; iris image enhancement; low resolution iris imagery; Biometrics; Eyelids; Fractals; Hamming distance; Ice; Image coding; Image enhancement; Image resolution; Interpolation; Iris recognition; Bicubic Interpolation; Fractal; ICE; Iris Recognition; Libor Masek;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery Pattern Recognition Workshop, 2008. AIPR '08. 37th IEEE
Conference_Location
Washington DC
ISSN
1550-5219
Print_ISBN
978-1-4244-3125-0
Electronic_ISBN
1550-5219
Type
conf
DOI
10.1109/AIPR.2008.4906470
Filename
4906470
Link To Document