基于SVM变换域的人脸识别

38th Annual 2004 International Carnahan Conference on Security Technology, 2004. Pub Date : 2004-10-11 DOI:10.1109/CCST.2004.1405412

C. Travieso, J. B. Alonso, M. Ferrer

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引用次数: 14

摘要

在本文中，我们提出了一个面部生物识别系统，利用变换域，如离散余弦变换(DCT)，快速傅立叶变换(FFT)和离散小波变换(DWT)。作为一种新的分类器系统，采用了支持向量机(SVM) (Burges, 1998)，此外，还采用了计算变换系数的方法。利用上述系统，在olvetti研究实验室的ORL人脸数据库(400张图像)上，获得了一个简单、鲁棒性好的系统，准确率高达98%以上。

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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Facial identification using transformed domain by SVM

In this paper, we propose a facial biometric identification system, using transformed domains such as discrete cosine transforms (DCT), fast Fourier transforms (FFT) and discrete wavelets transforms (DWT). As novel classifier system has been utilized a support vector machines (SVM) (Burges, 1998), and in addition, the way of computing transformed coefficients. With the above system, it has been obtained a simple and robust system with good results, upper to 98% with the ORL face database (400 images) from Olivetti Research Laboratory.

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来源期刊

38th Annual 2004 International Carnahan Conference on Security Technology, 2004.

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