Iris Image Identification Based on Wavelet Packet Decomposition
Xiangkui Chen · Bulletin of Science and Technology · 2012
The iris image's texture features are mainly concentrated on the high-frequency energy part,so it first carries out the image wavelet packet decomposition,extracts the feature vectors,processes the singular value eigenvectors for the variable dimension feature vector and takes the achieved feature vectors as the iris recognition's feature vectors,finally,classifies and identifies them according to Euclidean distance theory.The results and data achieved through the test show that this algorithm is reasonable and effective.