Title :
Fractal encoding of low resolution iris imagery for improved matching
Author :
Trebaol, Theodore ; Savvides, Professor Marios
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA
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;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2008. AIPR '08. 37th IEEE
Conference_Location :
Washington DC
Print_ISBN :
978-1-4244-3125-0
Electronic_ISBN :
1550-5219
DOI :
10.1109/AIPR.2008.4906470
