Abstract

In this paper, we proposed a robust multi-stage feature extraction and matching approach for non-cooperative iris recognition. To speed up the process, we used the SURF concept that treats the image as discrete and digital matrices. Unlike SURF method, we applied Gabor wavelets for feature extraction. More importantly, we designed a multi-scale feature point extraction method and a multi-stage matching scheme to improve the recognition accuracy and speed. The experimental results show that the proposed method can not only improve the process speed but also achieve better recognition accuracy.

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