子区域镶嵌技术在非理想虹膜识别中的应用

2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) Pub Date : 2014-12-01 DOI:10.1109/CIBIM.2014.7015455

Tao Yang, J. Stahl, S. Schuckers, Fang Hua

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引用次数: 6

摘要

图像拼接技术作为一种能够将一系列图像信息聚合在一起的图像处理技术，已被用于处理大尺寸图像。本文尝试将拼接技术应用于非理想虹膜的识别研究。该算法将虹膜图像集合中的信息进行合成，生成“合成”图像。实验包括部分闪烁虹膜和非角度虹膜图像的子区域。本文的贡献在于证明了图像拼接是一种在模式信息有限的情况下进行非理想虹膜识别的有效技术。

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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Subregion mosaicking applied to nonideal iris recognition

Image mosaicking technology, as an image processing technology that can aggregate the information from a sequence of images, has been used to process large size images. In this paper, we are trying to apply the mosaicking technology to nonideal iris recognition study. The proposed algorithm composes the information from a collection of iris images, and generates a “composite” image. The experiment includes the partial blinking iris and subregion of off-angle iris images. The contribution of this paper is to show the image mosaicking is an effective technology for nonideal iris recognition at the condition of limited pattern information.

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

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