通过眼生物识别技术远距离识别人

IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015) Pub Date : 2015-03-23 DOI:10.1109/ISBA.2015.7126353

Aishwarya Jain, Paritosh Mittal, Gaurav Goswami, Mayank Vatsa, Richa Singh

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引用次数: 9

摘要

在远距离采集图像时，虹膜识别的性能会下降。然而，此类图像通常包含可用于人识别的眼周区域。在这项研究中，我们提出了一种新的上下文切换算法，该算法动态地选择虹膜颜色和眼周区域的最佳描述符。利用预定义的协议，在UBIRIS V2和FRGC数据集上对该算法进行了性能评估，结果表明，与现有算法相比，该算法的性能有所提高。

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Person identification at a distance via ocular biometrics

The performance of iris recognition reduces when the images are captured at a distance. However, such images generally contain periocular region which can be utilized for person recognition. In this research, we propose a novel context switching algorithm that dynamically selects the best descriptor for color iris and periocular regions. Using predefined protocols, the performance of the proposed algorithm is evaluated on UBIRIS V2 and FRGC datasets, and the results show improved performance compared to existing algorithms.

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IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015)

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