安全应用中的联合变换关联

Proceedings IEEE 31st Annual 1997 International Carnahan Conference on Security Technology Pub Date : 1997-10-15 DOI:10.1109/CCST.1997.626242

M. Klima, J. Rott, T. Naughton, J. Keating

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引用次数: 3

摘要

联合变换相关(JTC)技术是光学分类识别系统中应用最广泛的方法之一。现在有很多不同的修改已经被测试和验证。由于极高的计算吞吐量，JTC已经在许多特殊用途(安全)应用程序中实现。本文讨论了针对两类基本对象——指纹和人脸——的JTC的实现。第一部分对旋转和缩放的灵敏度进行了研究。因此，在第二部分中，为了提高系统的性能，对两种类型的谱域阈值进行了测试。所有的过程首先在计算机上模拟，然后采用真实的光学傅立叶变换设置。对结果进行了比较和讨论。

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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Joint transform correlation in security applications

The Joint Transform Correlation (JTC) technique is the one of the most frequently applied methods in the field of optical classification and identification systems. Nowadays there are a lot of different modifications that have been tested and verified. Because of extremely high computational throughput the JTC has been implemented in many special purpose (security) applications. This paper deals with an implementation of the JTC for two basic classes of objects-fingerprints and faces. In the first part the sensitivity to rotation and zooming is studied. Consequently in the second part two types of thresholding in the spectral domain are tested in order to improve performance of the system. All procedures are simulated on a computer first and then the real optical FT setup is employed. The results are compared and discussed.

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Proceedings IEEE 31st Annual 1997 International Carnahan Conference on Security Technology

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