抗噪的移位Hamming距离差虹膜匹配方法

Anti-Noise Iris Matching Method Based on Offset Hamming Distance Deviation

对传统的Hamming距离匹配方法进行研究,提出抗噪的移位Hamming距离差(OHDD)虹膜匹配方法.首先构造单频两方向的奇对称Gabor滤波器组来提取虹膜边缘特征,然后用过零检测的方法进行虹膜编码,最后使用OHDD参数进行匹配.在6个虹膜数据库中,对传统匹配方法与文中的OHDD匹配方法进行对比实验.实验结果表明,在所有虹膜数据库中,OHDD匹配方法的等错率和正确识别率优于传统匹配方法,并且具有较强的抗眼睑睫毛噪声干扰的能力.

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 stronganti eyelid and eyelash noise ability.