Anti-Noise Iris Matching Method Based on Offset Hamming Distance Deviation
Cheng Yu · 2013
The traditional iris matching method based on Hamming distance is studied,and the anti-noise iris matching method based on offset Hamming distance deviation (OHDD) is proposed.Firstly,the odd symmetry Gabor filters with single frequency and 2 directions are used to extract iris edge features.Then,the filtering results are encoded by zero-crossing detecting method.Finally,the OHDD parameter is constructed for iris matching.Comparison experiments of the traditional matching method and the proposed OHDD matching method are made on 6 iris datasets.The experimental results show that the equal error rate and the correct recognition rate of the OHDD matching method are better than those of the traditional matching methods consistently in all iris datasets and the OHDD matching method has strong anti eyelid and eyelash noise ability.