图像压缩对虹膜识别性能和图像质量的影响

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications Pub Date : 2009-05-15 DOI:10.1109/CIB.2009.4925681

R. Ives, Daniel A. Bishop, Yingzi Du, C. Belcher

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引用次数: 8

摘要

随着虹膜识别作为最准确的人类身份识别手段之一得到支持，它的应用正在全球范围内扩大。开发虹膜识别算法的研究人员越来越多，虹膜图像数据库也越来越多。开发在各种条件下有效工作的算法需要在各种极端条件下捕获大量虹膜图像。这意味着用于进行研究的数据库的规模正在增加。本文使用商用虹膜识别算法和JPEG-2000压缩研究了图像压缩对识别系统性能的影响，并将其与图像质量度量联系起来。本研究使用ICE虹膜数据库。

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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Effects of image compression on iris recognition performance and image quality

With iris recognition gaining support as one of the most accurate means of human identification, its use is expanding globally. The number of researchers developing algorithms for iris recognition is increasing, and more iris image databases are available for their research. Developing algorithms that work effectively over a wide range of conditions requires a large assortment of iris images captured under varying and extreme conditions. This means that the size of the databases from which to conduct research is increasing. This paper investigates the effects of image compression on recognition system performance using a commercial iris recognition algorithm along with JPEG-2000 compression, and links these to an image quality metric. We use the ICE iris database in this research.

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来源期刊

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications

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