Using block-based spectral angle measure for iris pattern matching
Yingzi Du, Danny Isklandar · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Iris pattern matching is a key step in iris patter recognition system. This paper proposes a new approach for iris pattern matching using block-based spectral angle measure (SAM). The iris patterns in this paper are extracted using Log-Gabor wavelet method. The proposed SAM method will capture not only the phase information, but also the magnitude information. The block based method will enable the flexibility in the pattern matching step, which improves the accuracy and is more tolerable of the pattern dilation/constrain resulted from imperfect preprocessing. The preliminary experimental results show that the proposed method has an encouraging performance.