Combined Haar-Hilbert and Log-Gabor Based Iris Encoders

摘要

This chapter shows that combining Haar-Hilbert and Log-Gabor improves irisrecognition performance leading to a less ambiguous biometric decisionlandscape in which the overlap between the experimental intra- and interclassscore distributions diminishes or even vanishes. Haar-Hilbert, Log-Gabor andcombined Haar-Hilbert and Log-Gabor encoders are tested here both for singleand dual iris approach. The experimental results confirm that the bestperformance is obtained for the dual iris approach when the iris code isgenerated using the combined Haar-Hilbert and Log-Gabor encoder, and when thematching score fuses the information from both Haar-Hilbert and Log-Gaborchannels of the combined encoder.