Analysing the performance of the algorithms used to localize the iris region in eye images submitted to severely compressed images

Analysing the performance of the algorithms used to localize the iris region in eye images submitted to severely compressed images

This work aims to evaluate how does the performance of the iris localization algorithms is influenced by severe compression of eye images used in an automatic iris recognition system. The correct localization of the iris region is essential to guarantee the credibility of the biometric recognition....

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Hauptverfasser: Carneiro, M., Veiga, A., Silva, S.P., Flores, E.L., Carrijo, G.A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Biometrics
Eyelids
Fractals
Image analysis
Image coding
Image databases
Iris recognition
Performance analysis
Transform coding
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creator Carneiro, M.
Veiga, A.
Silva, S.P.
Flores, E.L.
Carrijo, G.A.
description This work aims to evaluate how does the performance of the iris localization algorithms is influenced by severe compression of eye images used in an automatic iris recognition system. The correct localization of the iris region is essential to guarantee the credibility of the biometric recognition. As it is the first processing stage of the system, it is the first stage that can have its efficiency depredated by the quality loss of the images to be processed. Fractal compression and JPEG2000 compression were applied to a public iris images database. Two traditional methods which localize the circular borders of the iris and a method for detection of eyelids and eyelashes were applied to the compressed images and their efficiencies were evaluated. The results obtained with the simulations, when the images were submitted to several compression levels, lead to the important conclusion that segmentation stage does not represent a barrier for the utilization of compressed images in an iris recognition system.
doi_str_mv 10.1109/WISP.2009.5286550
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subjects Algorithm design and analysis
Biometrics
Eyelids
Fractals
Image analysis
Image coding
Image databases
Iris recognition
Performance analysis
Transform coding
title Analysing the performance of the algorithms used to localize the iris region in eye images submitted to severely compressed images
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