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29 January 2007 Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet
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Proceedings Volume 6491, Videometrics IX; 649112 (2007)
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Parameter optimization is an important aspect for achieving highest accurate results. This paper investigates different parameters of the one dimensional Log-Gabor filter approach to produce optimal recognition rates. ROC curves are adopted to measure the recognition accuracy. More than 20 million matches have been performed in our experiment. Our experimental results show that optimal wavelength is linear change with the normalized length in angular direction in the polar coordinates. This paper also finds the optimal phase number for pattern encoding, and the optimal radial length.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir A. Pozdin and Yingzi Du "Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet", Proc. SPIE 6491, Videometrics IX, 649112 (29 January 2007);


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