Local Chan-Vese segmentation for non-ideal visible wavelength iris images
Local Chan-Vese segmentation for non-ideal visible wavelength iris images
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DOI：
10.1109/taai.2015.7407059
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发表时间：
2015-11
期刊：
影响因子：
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通讯作者：
Tong-Yuen Chai;B. Goi;Yong Haur Tay;Wai-Kiat Chin;Yenlung Lai
中科院分区：
文献类型：
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作者：
Tong-Yuen Chai;B. Goi;Yong Haur Tay;Wai-Kiat Chin;Yenlung Lai
在可见光环境下获取的非理想虹膜形状使得虹膜分割成为一个具有挑战性的任务。提出了一种基于局部活动轮廓模型的虹膜分割方法。研究了一种基于局部Chan-Vese（LCV）区域的主动轮廓模型，并将其应用于非理想可见光波段虹膜图像的分割。建议的本地化区域为基础的配方是更强大的，适合在可见光波长下的非合作用户的乳头/边缘的边界分割相比，一个标准的Chan-Vese（CV）分割模型，它具有内在的局限性时，处理不均匀性。我们采用B样条显式框架，以进一步提高算法的计算效率，克服了原有方法的局限性。在NICE上的实验结果表明，该算法具有良好的分割精度。
Iris segmentation becomes a challenging task for non-ideal iris shape captured under visible wavelength environment. In this paper, we proposed a localized active contour model for iris segmentation. A Local Chan-Vese (LCV) region-based active contour model is studied and applied to segment the non-ideal visible wavelength iris images. The proposed localized region-based formulation is more robust and suitable in segmenting the papillary/limbic boundary of non-cooperative users under visible wavelength compared to a standard Chan-Vese (CV) segmentation model which has intrinsic limitation when dealing with inhomogeneity properties. We applied B-spline explicit framework to further improve the computational efficiency of the algorithm overcoming the limitations of the original method. Experimental results on NICE.I have indicated good segmentation accuracy using the proposed algorithm.