Rotation Compensation Iris Recognition System Using Multi-Scale Directional Filter Bank and 2DPCA
Chellakkon Helen Sulochana, Srinivasan Selvan · International Journal of Modelling and Simulation · 2010
This paper proposes a novel rotation invariant iris recognition method using the eigen features of directional filter bank (DFB). Rotation invariant feature vectors are obtained by applying Eigen-analysis to the directional sub-bands. Experimental results show that DFB captures the directional information of iris images and the rotation invariant features achieve high classification accuracy on rotated images (due to head tilt) of the database.