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2007
Titel
Iris recognition algorithm based on common vector
Abstract
Typical iris recognition algorithms extract single iris sample's feature via image processing methods which only emphasize on individual information without taking the relationship among iris samples into consideration. The paper proposes a novel iris recognition algorithm based on common vector. The algorithm combines individual features with statistical features by using the common vector method,. Additionally high efficient eyelashes removing and eyelids locating algorithms make further improvement to the precision and stability of the algorithm. The experimental results show the high performance of the algorithm.