Proceedings Paper
Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 29 January 2007
PDF: 11 pages
Proc. SPIE 6491, Videometrics IX, 649112 (29 January 2007); doi: 10.1117/12.702562
Published in SPIE Proceedings Vol. 6491:
Videometrics IX
J.-Angelo Beraldin; Fabio Remondino; Mark R. Shortis, Editor(s)
PDF: 11 pages
Proc. SPIE 6491, Videometrics IX, 649112 (29 January 2007); doi: 10.1117/12.702562
Show Author Affiliations
Vladimir A. Pozdin, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Yingzi Du, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Published in SPIE Proceedings Vol. 6491:
Videometrics IX
J.-Angelo Beraldin; Fabio Remondino; Mark R. Shortis, Editor(s)
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