Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet

Vladimir A. Pozdin; Yingzi Du

doi:10.1117/12.702562

29 January 2007 Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet

Vladimir A. Pozdin, Yingzi Du

Proceedings Volume 6491, Videometrics IX; 649112 (2007) https://doi.org/10.1117/12.702562
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.702562

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