The reported accuracies of iris recognition systems are generally higher on near infrared images than on colour RGB images. To increase a colour iris recognition system's performance, a possible solution is a multialgorithmic approach with an appropriate fusion mechanism. In the present work, this approach is investigated by fusing three algorithms at the score level to enhance the performance of a colour iris recognition system. The contribution of this paper consists of proposing 2 novel feature extraction methods for colour iris images, one based on a 3-bit encoder of the 8 neighborhood and the other one based on gray level co-occurrence matrix. The third algorithm employed uses the classical Gabor filters and phase encoding for feature extraction. A weighted average is used as a matching score fusion. The efficiency of the proposed iris recognition system is demonstrated on UBIRISv1 dataset. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Radu, P., Sirlantzis, K., Howells, G., Hoque, S., & Deravi, F. (2013). A multi-algorithmic colour iris recognition system. In Advances in Intelligent Systems and Computing (Vol. 195 AISC, pp. 45–56). Springer Verlag. https://doi.org/10.1007/978-3-642-33941-7_7
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