中文说明：应用背景这个工具的背景是设计一个全面的分析工具，用于人脸识别。该工具为在机器学习和模式识别领域工作的学生提供了一个很好的帮助。此应用程序介绍了人脸识别技术，使用机器学习技术，命名为原则的成分分析的标准人脸识别数据集的训练和测试的目的。关键技术该应用程序提供了使用机器学习的人脸识别技术命名为主成分分析法。使用标准人脸识别数据集的训练和测试目的。数据集包含40个不同的类，每个类都有10个不同的图像。它也提供不同的特征向量的比较。这是一个非常好的人脸识别目的分析工具。
English Description：
Application background The background of this tool is to design a comprehensive analysis tool for face recognition. This tool provides a good help for the student who is working in the area of machine learning and pattern recognition. This application presents the face recognition techniques using machine learning technique named as Principle Component Analysis on the standard face recognition data set for the training and testing purpose. Key TechnologyThis application provides the face recognition using machine learning technique named as Principle Component Analysis. It used the standard face recognition data set for the training and testing purpose. The data set contains 40 different classes and each class has 10 different images. It also provides comparison on the different feature vectors. It is a very good tool for analysis purpose of face recognition.