Iris feature extraction and matching based on space pyramid

Iris feature extraction and classifier design are the key steps in iris recognition system, because it will directly affect the effect of iris recognition, especially for real-time iris recognition system, in order to extract enough information as possible while reducing the system Calculation, and find a balance between effectiveness and efficiency in the identification, the current proposed Gobor Dougman filtering is the main feature extraction. However, in the kinds of embedded systems, Gobor function need large amount of calculation, so this chapter put the pyramid matching classification in scenes into feature extraction, established a new model of feature extraction and recognition. The match effect is ideal in after large number of tests.