Content-based iris indexing and retrieval model using spatial acces methods

A content-based indexing approach that facilitates the iris image database retrieval process is provided in this article. Our indexing model is based on a HOG-based image feature extraction producing high-dimension feature vectors that are accessed via SAM (Spatial Access Methods). These content-based feature vectors are indexed by using a K-D-tree indexing structure. An efficient image retrieval procedure, using a relevance-feedback scheme and performing a K-NN database search based on this index, is then described in our paper.