29 January 2007 Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet
Author Affiliations +
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, Vladimir A. Pozdin, Yingzi Du, Yingzi Du, } "Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet", Proc. SPIE 6491, Videometrics IX, 649112 (29 January 2007); doi: 10.1117/12.702562; https://doi.org/10.1117/12.702562


Multimodal eye recognition
Proceedings of SPIE (April 28 2010)
Biorthogonal-wavelets-based iris recognition
Proceedings of SPIE (March 27 2005)
Iris recognition with compact zero-crossing-based coding
Proceedings of SPIE (October 11 2006)
Challenging ocular image recognition
Proceedings of SPIE (May 17 2011)

Back to Top