Abstract
Iris recognition provides a way to obtain a unique biometry-based digital key, which cannot be lost or forgotten. The accuracy of iris matching is strongly affected by correctness of alignment of its local features. It is proposed to split the matched images into several segments, then the alignment is sought using the method of the optimal path. The influence of the number of segments and restrictions on the mobility of neighboring segments on the recognition accuracy is investigated. Computational experiments were carried out with ICE2005 and CASIA databases.
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