Enhanced SVD Based Face Recognition

Enhanced SVD Based Face Recognition
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基于增强型 SVD 的人脸识别

DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
S. Mohsin
S. Mohsin
中科院分区：
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文献类型：
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作者：
M. Sharif;Saad Anis;M. Raza;S. Mohsin

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人脸识别中要求很高的任务之一是处理光照和表情变化。许多研究正在进行中，以克服这些问题。本文提出了分组奇异值分解摄动法和离散小波变换相结合的预处理方法。建议的技术在每人一张图片的情况下也表现良好。该方法得到的图像被送入SIMPLE SVD算法进行人脸识别。本文在ORL、YALE、PIE和AR数据库上进行了精度测试，重点研究了光照问题。
One of the demanding tasks in face recognition is to handle illumination and expression variations. A lot of research is in progress to overcome such problems. This paper addresses the preprocessing method that is composed of grouping SVD perturbation and DWT. The proposed technique also performs well under one picture per person scenarios. The resulting image of this method is fed in to the simple SVD algorithm for face recognition. This paper performs its accuracy test on ORL, Yale, PIE and AR databases and focuses on the illumination problems.