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

Pozdin, VA, Du, Y. (2007). Performance analysis and parameter optimization for iris recognition using Log-Gabor wavelet . SMART BIOMEDICAL AND PHYSIOLOGICAL SENSOR TECHNOLOGY XI, 6491 10.1117/12.702562

cited authors

  • Pozdin, VA; Du, Y

authors

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. © 2007 SPIE-IS&T.

publication date

  • January 1, 2007

published in

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 10

International Standard Book Number (ISBN) 13

volume

  • 6491