Binary classifiers and radial symmetry transform for fast and accurate eye localization

Abstract

In order to locate eyes for iris recognition, this paper presents a fast and accurate eye localization algorithm under active infrared (IR) illumination. The algorithm is based on binary classifiers and fast radial symmetry transform. First, eye candidates can be detected by the fast radial symmetry transform in infrared image. Then three-stage binary classifiers are used to eliminate most unreliable eye candidates. Finally, the mean eye template is employed to identify the real eyes from the reliable eye candidates. A large number of tests have been completed to verify the performance of the proposed algorithm. Experimental results demonstrate that the algorithm proposed in this article is robust and efficient.