Perturbation-enhanced feature correlation filter for robust iris recognition
Perturbation-enhanced feature correlation filter for robust iris recognition
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DOI：
10.1049/iet-bmt.2012.0002
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发表时间：
2012-04
期刊：
影响因子：
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通讯作者：
Man Zhang;Zhenan Sun;T. Tan
中科院分区：
文献类型：
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作者：
Man Zhang;Zhenan Sun;T. Tan
人体虹膜的视觉特征为身份识别提供了丰富的纹理信息。然而，对于在应用中变化很大的类内虹膜图像的匹配是具有挑战性的。提出了一种扰动增强的特征相关滤波器(PFCF)来实现稳健的虹膜匹配。PFCF是在四相最小平均相关能量滤波器的基础上发展起来的，但它有两个显著的改进。首先，对Gabor滤波后的虹膜图像进行PFCF，同时对局部和全局特征进行编码。一方面，Gabor图像可以增强虹膜纹理的局部细节。另一方面，相关滤波器描述了虹膜图像的区域外观信息，有效地度量了虹膜图像之间的全局相似性。其次，生成人工扰动的虹膜图像来模拟类内变化。此外，还相应地开发了一组附加的相关过滤器作为图库模板。该决策由多个相关滤波器的融合结果决定。因此，PFCF不仅利用了Gabor图像和相关滤波器的优点，而且扩大了注册模板的数量，实现了稳健的虹膜匹配。在三个具有挑战性的虹膜图像库上的大量实验表明，该方法对虹膜图像中的变形、旋转、遮挡、模糊和光照变化具有较好的鲁棒性。
Visual pattern of human iris provides rich texture information for personal identification. However, it is challenging to match intra-class iris images with large variations in applications. This study proposes a perturbation-enhanced feature correlation filter (PFCF) for robust iris matching. PFCF is developed based on quad-phase minimum average correlation energy filter, but it has two significant improvements. First, PFCF is performed on Gabor filtered iris images to encode both local and global features. On the one hand, Gabor images can enhance the local details of iris texture. On the other hand, correlation filters describe the regional appearance information and measure the global similarity between iris images efficiently. Secondly, artificially perturbed iris images are generated to model intra-class variations. Also, a set of additional correlation filters are developed accordingly as the gallery templates. The decision is determined by the fusion result of multiple correlation filters. Therefore PFCF not only takes the advantages of Gabor images and correlation filters but also enlarges the amount of enrolled templates for robust iris matching. Extensive experiments on three challenging iris image databases demonstrate that the proposed method outperforms the state-of-the-art methods according to its robustness against deformation, rotation, occlusion, blurring and illumination changes in iris images.