Periocular biometrics in the visible spectrum: A feasibility study

U. Park, A. Ross, Anil K. Jain
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引用次数: 257

Abstract

Periocular biometric refers to the facial region in the immediate vicinity of the eye. Acquisition of the periocular biometric does not require high user cooperation and close capture distance unlike other ocular biometrics (e.g., iris, retina, and sclera). We study the feasibility of using periocular images of an individual as a biometric trait. Global and local information are extracted from the periocular region using texture and point operators resulting in a feature set that can be used for matching. The effect of fusing these feature sets is also studied. The experimental results show a 77% rank-1 recognition accuracy using 958 images captured from 30 different subjects.
可见光谱中的眼周生物识别技术:可行性研究
眼周生物特征是指眼睛附近的面部区域。与其他眼部生物特征(如虹膜、视网膜和巩膜)不同,眼周生物特征的获取不需要高度的用户配合和近距离的捕捉。我们研究了使用个体眼周图像作为生物特征特征的可行性。使用纹理和点算子从眼周区域提取全局和局部信息,得到可用于匹配的特征集。研究了这些特征集的融合效果。实验结果表明,从30个不同的对象中捕获的958张图像的识别准确率为77%。
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