虹膜识别中注视角估计与校正

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI:10.1109/CIBIM.2014.7015454

Tao Yang, J. Stahl, S. Schuckers, Fang Hua, Chris Boehnen, M. Karakaya

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引用次数: 4

摘要

传统的虹膜识别采用全正面虹膜图像已经达到了非常高的准确率。本文主要研究离角虹膜图像的处理。先前的研究表明，有可能纠正偏离角度的虹膜图像，但需要了解角度。很少有研究关注用于角度校正的虹膜角估计。本文描述了一种基于椭圆几何特征的两相角估计方法。角度校正是通过射影变换完成的。对这种角度估计和校正方法的评估包括一个3D眼球模拟器，以及在西弗吉尼亚大学偏离角度数据集上的性能测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Gaze angle estimate and correction in iris recognition

Conventional iris recognition using a full frontal iris image has reached a very high accuracy rate. In this paper, we focus on processing off-angle iris images. Previous research has shown that it is possible to correct off-angle iris images, but knowledge of the angle was needed. Very little work has focused on iris angle estimation which can be used for angle correction. In this paper, we describe a two-phase angle estimation based on the geometric features of the ellipse. Angle correction is accomplished by projective transformation. Evaluation of this angle estimation and correction method includes a 3D eyeball simulator, and performance test on the West Virginia University Off-Angle Dataset.

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2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)

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