pca+fisher 人脸识别

资 源 简 介

pca+fisher 人脸识别matlab程序，附加图像数据库，适合简单的人脸识别。

详 情 说 明

In this document, we will be discussing the PCA+Fisher method for face recognition in MATLAB. This program comes with an attached image database, which can be used for simple face recognition. To give some background on the topic, PCA (Principal Component Analysis) is a statistical method that is commonly used for data analysis. It aims to reduce the dimensionality of a data set while still retaining as much of the original information as possible. The Fisher method, on the other hand, is a linear discriminant analysis method that is used to separate two or more classes of objects based on their features. By combining these two methods, we can create a powerful tool for facial recognition. The attached image database provides a set of images that can be used to test and refine the PCA+Fisher algorithm. With this program and database, users can easily explore the exciting field of face recognition and gain a deeper understanding of this fascinating topic.