A comparison between two preprocessing techniques in PCA-based face recognition

Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on Pub Date : 2003-07-10 DOI:10.1109/SCS.2003.1227004

I. Ciocoiu, B. Valmar

引用次数: 5

Abstract

We present a comparative analysis of the recognition performances of 2 different preprocessing techniques for face recognition application. The specific methods are projection-combined principal component analysis ((PC)2A) and eigenhills, which are compared against standard eigenface method. Recognition performances are computed using different distance measures and number of training images on the Olivetti database.

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基于pca的人脸识别中两种预处理技术的比较

我们对两种不同的预处理技术在人脸识别中的应用性能进行了比较分析。具体方法是投影组合主成分分析((PC)2A)和特征丘，并与标准特征面方法进行了比较。使用不同的距离度量和Olivetti数据库上的训练图像数量来计算识别性能。

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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来源期刊

Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on

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